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Nilai Maksimal Prosiding
BUKTI SCOPUS
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10 of 38
Exploring the implementation of green supply chain with cluster anddiscriminant analysis Case study Furniture industry at Central JavaSemarang (Conference Paper)
Industrial Engineering Department Diponegoro University Campus Tembalang Semarang Central Java Indonesia
AbstractThis study has two objectives First this study aims to categorize the level of the implementation of Green SupplyChain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in severalclusters Second this study aims to find the linear combination of five dimensions of GSCM practices that willdiscriminate best between prior defined clusters The study used primary data through questionnaires enclosed withthe Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw datalevel of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminantanalysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means clusteranalysis indicated that a two-cluster is the optimal number of a group for separating the data of the level ofimplementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research arelabeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 ofthe SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed thediscriminant function as Z= (0238-IeM) + (0602-GPU) + (1161-CCO) + (1128-ECO) + (1126-IRE) - 13124 and thethreshold for evaluating a discriminant score of implementation of GSCM practice is -0276 The implementation ofGSCM practices by new SMEs of wooden furniture with discriminant scores above -0276 would be assigned to theEarly Adoption (cluster 1) otherwise they would be classified as Laggards (cluster 2) copy 2018 IEEE
SciVal Topic Prominence
Topic
Prominence percentile 99931
Author keywordsdiscriminant analysis GSCM practices jepara K-means cluster kudus semarang surakarta
Indexed keywords
Engineeringcontrolled terms
Cluster analysis Java programming language Social sciences computing
Supply chain management Surveys
Engineeringuncontrolled terms
GSCM practices jepara K-means clusters kudus semarang surakarta
Engineering mainheading
Discriminant analysis
Funding details
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2018 5th International Conference on Industrial Engineering and Applications ICIEA 201815 June 2018 Pages 526-5305th International Conference on Industrial Engineering and Applications ICIEA 2018 ShawFoundation Alumni House National University of SingaporeSingapore Singapore 26 April2018 through 28 April 2018 Category numberCFP18L08-PRT Code 115072
Susanty A Sari DP
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Supply chain management | Supply chains | GSCM practices
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Green supply chain managementand firms performanceUnderstanding potentialrelationships and the role ofgreen sourcing and some othergreen practices
Jabbour ABLDS FrascareliFCDO Jabbour CJC
The impact of implementinggreen supply chain managementpractices on corporateperformance
Younis H Sundarakani B VelP
Prioritization of green supplychain indicators with analytichierarchy process (AHP) model
Chavan AS Patil RNChavan ST
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Authors Keywords
References (36)
Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym
Ministry of Higher Education and Scientific Research
Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo
Linton JD Klassen R Jayaraman V
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Zhu Q Sarkis J Lai K-H
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Yang C-S Lu C-S Haider JJ Marlow PB
(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73
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Srivastava SK
(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x
Zhu Q Sarkis J
(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005
ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English
DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc
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All Export Print E-mail Save to PDF Create bibliography
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Sustainable supply chains An introduction
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Confirmation of a measurement model for green supply chain management practicesimplementation
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The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan
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Green supply-chain management A state-of-the-art literature review
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Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises
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Azevedo SG Carvalho H Cruz Machado V
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Vachon S Klassen RD
(2006) International Journal of Operations and Production Management 26 (7) pp 795-821
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Vachon S Klassen RD
(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030
Green Jr KW Zelbst PJ Bhadauria VS Meacham J
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Green supply chain management in China Pressures practices and performance
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Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices
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The influence of green practices on supply chain performance A case study approach
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Extending green practices across the supply chain The impact of upstream anddownstream integration
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Environmental management and manufacturing performance The role ofcollaboration in the supply chain
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Sustainable Supply Chains Governance Mechanisms to Greening Suppliers
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Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK
Hamel G Prahalad CK
(1989) Harvard Business Review 67 (3) pp 63-76
Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102
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(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1
Green K Morton B New S
(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405
Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55
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To revitalize corporate performance we need a whole new model of strategy Strategicintent
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Green purchasing practices of US firms
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Environmental purchasing A framework for theory development
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Green purchasing and supply policies Do they improve companies environmentalperformance
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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia
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Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
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Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
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Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
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An exploration of green supply chain practices and performances in an automotiveindustry
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Green supply chain management practices and performance
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An inter-sectoral comparison of green supply chain management in China Driversand practices
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The moderating effects of institutional pressures on emergent green supply chainpractices and performance
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(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
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(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
BUKTI SCOPUS
Scopus
Document details
10 of 38
Exploring the implementation of green supply chain with cluster anddiscriminant analysis Case study Furniture industry at Central JavaSemarang (Conference Paper)
Industrial Engineering Department Diponegoro University Campus Tembalang Semarang Central Java Indonesia
AbstractThis study has two objectives First this study aims to categorize the level of the implementation of Green SupplyChain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in severalclusters Second this study aims to find the linear combination of five dimensions of GSCM practices that willdiscriminate best between prior defined clusters The study used primary data through questionnaires enclosed withthe Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw datalevel of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminantanalysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means clusteranalysis indicated that a two-cluster is the optimal number of a group for separating the data of the level ofimplementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research arelabeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 ofthe SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed thediscriminant function as Z= (0238-IeM) + (0602-GPU) + (1161-CCO) + (1128-ECO) + (1126-IRE) - 13124 and thethreshold for evaluating a discriminant score of implementation of GSCM practice is -0276 The implementation ofGSCM practices by new SMEs of wooden furniture with discriminant scores above -0276 would be assigned to theEarly Adoption (cluster 1) otherwise they would be classified as Laggards (cluster 2) copy 2018 IEEE
SciVal Topic Prominence
Topic
Prominence percentile 99931
Author keywordsdiscriminant analysis GSCM practices jepara K-means cluster kudus semarang surakarta
Indexed keywords
Engineeringcontrolled terms
Cluster analysis Java programming language Social sciences computing
Supply chain management Surveys
Engineeringuncontrolled terms
GSCM practices jepara K-means clusters kudus semarang surakarta
Engineering mainheading
Discriminant analysis
Funding details
Back to results Previous Next
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View at Publisher
2018 5th International Conference on Industrial Engineering and Applications ICIEA 201815 June 2018 Pages 526-5305th International Conference on Industrial Engineering and Applications ICIEA 2018 ShawFoundation Alumni House National University of SingaporeSingapore Singapore 26 April2018 through 28 April 2018 Category numberCFP18L08-PRT Code 115072
Susanty A Sari DP
View references (36)
Supply chain management | Supply chains | GSCM practices
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Green supply chain managementand firms performanceUnderstanding potentialrelationships and the role ofgreen sourcing and some othergreen practices
Jabbour ABLDS FrascareliFCDO Jabbour CJC
The impact of implementinggreen supply chain managementpractices on corporateperformance
Younis H Sundarakani B VelP
Prioritization of green supplychain indicators with analytichierarchy process (AHP) model
Chavan AS Patil RNChavan ST
View all related documents basedon references
Authors Keywords
References (36)
Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym
Ministry of Higher Education and Scientific Research
Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo
Linton JD Klassen R Jayaraman V
(2007) Journal of Operations Management 25 (6) pp 1075-1082 doi 101016jjom200701012
Zhu Q Sarkis J Lai K-H
(2008) International Journal of Production Economics 111 (2) pp 261-273 doi 101016jijpe200611029
Yang C-S Lu C-S Haider JJ Marlow PB
(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73
doi 101016jtre201303005
Srivastava SK
(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x
Zhu Q Sarkis J
(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005
ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English
DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc
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All Export Print E-mail Save to PDF Create bibliography
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Sustainable supply chains An introduction
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2
Confirmation of a measurement model for green supply chain management practicesimplementation
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3
The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan
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4
Green supply-chain management A state-of-the-art literature review
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5
Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises
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Zhu Q Sarkis J Lai K-H
(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117
doi 101016jpursup201212001
Azevedo SG Carvalho H Cruz Machado V
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871
doi 101016jtre201105017
Vachon S Klassen RD
(2006) International Journal of Operations and Production Management 26 (7) pp 795-821
doi 10110801443570610672248
Vachon S Klassen RD
(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030
Green Jr KW Zelbst PJ Bhadauria VS Meacham J
(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254
Gimenez C Sierra V
(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4
6
Green supply chain management in China Pressures practices and performance
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Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices
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8
The influence of green practices on supply chain performance A case study approach
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Extending green practices across the supply chain The impact of upstream anddownstream integration
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10
Environmental management and manufacturing performance The role ofcollaboration in the supply chain
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Do environmental collaboration and monitoring enhance organizationalperformance
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12
Sustainable Supply Chains Governance Mechanisms to Greening Suppliers
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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association
Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK
Hamel G Prahalad CK
(1989) Harvard Business Review 67 (3) pp 63-76
Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102
Min H Galle WP
(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238
doi 101108EUM0000000005923
Zsidisin GA Siferd SP
(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1
Green K Morton B New S
(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405
Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55
ElTayeb TK Zailani S Jayaraman K
(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378
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To revitalize corporate performance we need a whole new model of strategy Strategicintent
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Green purchasing practices of US firms
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Environmental purchasing A framework for theory development
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Green purchasing and supply policies Do they improve companies environmentalperformance
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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia
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Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345
Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107
Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
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Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
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23
An exploration of green supply chain practices and performances in an automotiveindustry
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24
Green supply chain management practices and performance
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25
An inter-sectoral comparison of green supply chain management in China Driversand practices
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26
The moderating effects of institutional pressures on emergent green supply chainpractices and performance
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Green supply chain management and organizational performance
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(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943
Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89
Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
copy Copyright 2018 Elsevier BV All rights reserved
30
The impact of external institutional drivers and internal strategy on environmentalperformance
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Purchasings involvement in environmental issues A multi-country perspective
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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
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34
Cluster validity measures dynamic clustering algorithms
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35
Leaders and laggards The influence of competing logics on corporate environmentalaction
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36
An empirical study of green supply chain management practices amongst UKmanufacturers
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Back to results Previous Next Top of page
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Scopus
Document details
10 of 38
Exploring the implementation of green supply chain with cluster anddiscriminant analysis Case study Furniture industry at Central JavaSemarang (Conference Paper)
Industrial Engineering Department Diponegoro University Campus Tembalang Semarang Central Java Indonesia
AbstractThis study has two objectives First this study aims to categorize the level of the implementation of Green SupplyChain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in severalclusters Second this study aims to find the linear combination of five dimensions of GSCM practices that willdiscriminate best between prior defined clusters The study used primary data through questionnaires enclosed withthe Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw datalevel of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminantanalysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means clusteranalysis indicated that a two-cluster is the optimal number of a group for separating the data of the level ofimplementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research arelabeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 ofthe SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed thediscriminant function as Z= (0238-IeM) + (0602-GPU) + (1161-CCO) + (1128-ECO) + (1126-IRE) - 13124 and thethreshold for evaluating a discriminant score of implementation of GSCM practice is -0276 The implementation ofGSCM practices by new SMEs of wooden furniture with discriminant scores above -0276 would be assigned to theEarly Adoption (cluster 1) otherwise they would be classified as Laggards (cluster 2) copy 2018 IEEE
SciVal Topic Prominence
Topic
Prominence percentile 99931
Author keywordsdiscriminant analysis GSCM practices jepara K-means cluster kudus semarang surakarta
Indexed keywords
Engineeringcontrolled terms
Cluster analysis Java programming language Social sciences computing
Supply chain management Surveys
Engineeringuncontrolled terms
GSCM practices jepara K-means clusters kudus semarang surakarta
Engineering mainheading
Discriminant analysis
Funding details
Back to results Previous Next
Export Download Print E-mail Save to PDF ⋆ Add to List More
View at Publisher
2018 5th International Conference on Industrial Engineering and Applications ICIEA 201815 June 2018 Pages 526-5305th International Conference on Industrial Engineering and Applications ICIEA 2018 ShawFoundation Alumni House National University of SingaporeSingapore Singapore 26 April2018 through 28 April 2018 Category numberCFP18L08-PRT Code 115072
Susanty A Sari DP
View references (36)
Supply chain management | Supply chains | GSCM practices
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Green supply chain managementand firms performanceUnderstanding potentialrelationships and the role ofgreen sourcing and some othergreen practices
Jabbour ABLDS FrascareliFCDO Jabbour CJC
The impact of implementinggreen supply chain managementpractices on corporateperformance
Younis H Sundarakani B VelP
Prioritization of green supplychain indicators with analytichierarchy process (AHP) model
Chavan AS Patil RNChavan ST
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Authors Keywords
References (36)
Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym
Ministry of Higher Education and Scientific Research
Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo
Linton JD Klassen R Jayaraman V
(2007) Journal of Operations Management 25 (6) pp 1075-1082 doi 101016jjom200701012
Zhu Q Sarkis J Lai K-H
(2008) International Journal of Production Economics 111 (2) pp 261-273 doi 101016jijpe200611029
Yang C-S Lu C-S Haider JJ Marlow PB
(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73
doi 101016jtre201303005
Srivastava SK
(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x
Zhu Q Sarkis J
(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005
ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English
DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc
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All Export Print E-mail Save to PDF Create bibliography
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Sustainable supply chains An introduction
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2
Confirmation of a measurement model for green supply chain management practicesimplementation
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3
The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan
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4
Green supply-chain management A state-of-the-art literature review
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5
Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises
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Zhu Q Sarkis J Lai K-H
(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117
doi 101016jpursup201212001
Azevedo SG Carvalho H Cruz Machado V
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871
doi 101016jtre201105017
Vachon S Klassen RD
(2006) International Journal of Operations and Production Management 26 (7) pp 795-821
doi 10110801443570610672248
Vachon S Klassen RD
(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030
Green Jr KW Zelbst PJ Bhadauria VS Meacham J
(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254
Gimenez C Sierra V
(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4
6
Green supply chain management in China Pressures practices and performance
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7
Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices
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8
The influence of green practices on supply chain performance A case study approach
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Extending green practices across the supply chain The impact of upstream anddownstream integration
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Environmental management and manufacturing performance The role ofcollaboration in the supply chain
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Do environmental collaboration and monitoring enhance organizationalperformance
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12
Sustainable Supply Chains Governance Mechanisms to Greening Suppliers
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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association
Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK
Hamel G Prahalad CK
(1989) Harvard Business Review 67 (3) pp 63-76
Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102
Min H Galle WP
(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238
doi 101108EUM0000000005923
Zsidisin GA Siferd SP
(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1
Green K Morton B New S
(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405
Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55
ElTayeb TK Zailani S Jayaraman K
(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378
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To revitalize corporate performance we need a whole new model of strategy Strategicintent
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Green purchasing practices of US firms
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Environmental purchasing A framework for theory development
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Green purchasing and supply policies Do they improve companies environmentalperformance
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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia
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Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345
Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107
Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
22
Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
Cited 118 times
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23
An exploration of green supply chain practices and performances in an automotiveindustry
Cited 70 times
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24
Green supply chain management practices and performance
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25
An inter-sectoral comparison of green supply chain management in China Driversand practices
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The moderating effects of institutional pressures on emergent green supply chainpractices and performance
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Green supply chain management and organizational performance
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(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943
Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89
Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
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The impact of external institutional drivers and internal strategy on environmentalperformance
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Purchasings involvement in environmental issues A multi-country perspective
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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
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Cluster validity measures dynamic clustering algorithms
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36
An empirical study of green supply chain management practices amongst UKmanufacturers
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Back to results Previous Next Top of page
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
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Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
References (36)
Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym
Ministry of Higher Education and Scientific Research
Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo
Linton JD Klassen R Jayaraman V
(2007) Journal of Operations Management 25 (6) pp 1075-1082 doi 101016jjom200701012
Zhu Q Sarkis J Lai K-H
(2008) International Journal of Production Economics 111 (2) pp 261-273 doi 101016jijpe200611029
Yang C-S Lu C-S Haider JJ Marlow PB
(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73
doi 101016jtre201303005
Srivastava SK
(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x
Zhu Q Sarkis J
(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005
ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English
DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc
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Sustainable supply chains An introduction
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2
Confirmation of a measurement model for green supply chain management practicesimplementation
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3
The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan
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Green supply-chain management A state-of-the-art literature review
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Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises
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Zhu Q Sarkis J Geng Y
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Zhu Q Sarkis J Lai K-H
(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117
doi 101016jpursup201212001
Azevedo SG Carvalho H Cruz Machado V
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871
doi 101016jtre201105017
Vachon S Klassen RD
(2006) International Journal of Operations and Production Management 26 (7) pp 795-821
doi 10110801443570610672248
Vachon S Klassen RD
(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030
Green Jr KW Zelbst PJ Bhadauria VS Meacham J
(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254
Gimenez C Sierra V
(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4
6
Green supply chain management in China Pressures practices and performance
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7
Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices
Cited 268 timeshttpwwwelseviercomwpsfindjournalbibliographicinfocws_home642704descriptionbibliographicinfo
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8
The influence of green practices on supply chain performance A case study approach
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Extending green practices across the supply chain The impact of upstream anddownstream integration
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10
Environmental management and manufacturing performance The role ofcollaboration in the supply chain
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Do environmental collaboration and monitoring enhance organizationalperformance
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12
Sustainable Supply Chains Governance Mechanisms to Greening Suppliers
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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association
Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK
Hamel G Prahalad CK
(1989) Harvard Business Review 67 (3) pp 63-76
Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102
Min H Galle WP
(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238
doi 101108EUM0000000005923
Zsidisin GA Siferd SP
(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1
Green K Morton B New S
(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405
Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55
ElTayeb TK Zailani S Jayaraman K
(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378
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To revitalize corporate performance we need a whole new model of strategy Strategicintent
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Green purchasing practices of US firms
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18
Environmental purchasing A framework for theory development
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Green purchasing and supply policies Do they improve companies environmentalperformance
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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia
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Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345
Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107
Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
22
Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
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23
An exploration of green supply chain practices and performances in an automotiveindustry
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24
Green supply chain management practices and performance
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25
An inter-sectoral comparison of green supply chain management in China Driversand practices
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The moderating effects of institutional pressures on emergent green supply chainpractices and performance
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Green supply chain management and organizational performance
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Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89
Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
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30
The impact of external institutional drivers and internal strategy on environmentalperformance
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Purchasings involvement in environmental issues A multi-country perspective
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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
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Cluster validity measures dynamic clustering algorithms
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Leaders and laggards The influence of competing logics on corporate environmentalaction
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36
An empirical study of green supply chain management practices amongst UKmanufacturers
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
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(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117
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Azevedo SG Carvalho H Cruz Machado V
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871
doi 101016jtre201105017
Vachon S Klassen RD
(2006) International Journal of Operations and Production Management 26 (7) pp 795-821
doi 10110801443570610672248
Vachon S Klassen RD
(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030
Green Jr KW Zelbst PJ Bhadauria VS Meacham J
(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254
Gimenez C Sierra V
(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4
6
Green supply chain management in China Pressures practices and performance
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7
Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices
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View at Publisher
8
The influence of green practices on supply chain performance A case study approach
Cited 243timeswwwelseviercomincapublicationsstore600244
View at Publisher
9
Extending green practices across the supply chain The impact of upstream anddownstream integration
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Environmental management and manufacturing performance The role ofcollaboration in the supply chain
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Do environmental collaboration and monitoring enhance organizationalperformance
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Sustainable Supply Chains Governance Mechanisms to Greening Suppliers
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Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK
Hamel G Prahalad CK
(1989) Harvard Business Review 67 (3) pp 63-76
Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102
Min H Galle WP
(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238
doi 101108EUM0000000005923
Zsidisin GA Siferd SP
(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1
Green K Morton B New S
(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405
Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55
ElTayeb TK Zailani S Jayaraman K
(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378
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To revitalize corporate performance we need a whole new model of strategy Strategicintent
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Green purchasing practices of US firms
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Environmental purchasing A framework for theory development
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Green purchasing and supply policies Do they improve companies environmentalperformance
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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia
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Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345
Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107
Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
22
Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
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23
An exploration of green supply chain practices and performances in an automotiveindustry
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24
Green supply chain management practices and performance
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25
An inter-sectoral comparison of green supply chain management in China Driversand practices
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The moderating effects of institutional pressures on emergent green supply chainpractices and performance
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Green supply chain management and organizational performance
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Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
copy Copyright 2018 Elsevier BV All rights reserved
30
The impact of external institutional drivers and internal strategy on environmentalperformance
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Purchasings involvement in environmental issues A multi-country perspective
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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
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34
Cluster validity measures dynamic clustering algorithms
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35
Leaders and laggards The influence of competing logics on corporate environmentalaction
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36
An empirical study of green supply chain management practices amongst UKmanufacturers
Cited 236 times
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association
Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK
Hamel G Prahalad CK
(1989) Harvard Business Review 67 (3) pp 63-76
Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102
Min H Galle WP
(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238
doi 101108EUM0000000005923
Zsidisin GA Siferd SP
(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1
Green K Morton B New S
(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405
Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55
ElTayeb TK Zailani S Jayaraman K
(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378
13Cited 23 times
14
Cited 2 times
15
To revitalize corporate performance we need a whole new model of strategy Strategicintent
Cited 931 times
16
Cited 525 times
17
Green purchasing practices of US firms
Cited 382timeshttpwwwemeraldinsightcomjournalshtmissn=0144-3577
View at Publisher
18
Environmental purchasing A framework for theory development
Cited 320 times
View at Publisher
19
Green purchasing and supply policies Do they improve companies environmentalperformance
Cited 205 times
View at Publisher
20
Cited 364 times
21
The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia
Cited 88 times
View at Publisher
Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345
Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107
Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
22
Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
Cited 118 times
View at Publisher
23
An exploration of green supply chain practices and performances in an automotiveindustry
Cited 70 times
View at Publisher
24
Green supply chain management practices and performance
Cited 85 times
View at Publisher
25
An inter-sectoral comparison of green supply chain management in China Driversand practices
Cited 470 times
View at Publisher
26
The moderating effects of institutional pressures on emergent green supply chainpractices and performance
Cited 455 times
View at Publisher
27
Cited 168 times
28
Cited 70 times
29
Green supply chain management and organizational performance
Cited 126 times
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10 of 38
Zailani SHM Eltayeb TK Hsu C-C Tan KC
(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943
Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89
Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
copy Copyright 2018 Elsevier BV All rights reserved
30
The impact of external institutional drivers and internal strategy on environmentalperformance
Cited 91 times
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31
Cited 2 times
32
Purchasings involvement in environmental issues A multi-country perspective
Cited 120 timeshttpwwwemeraldinsightcominfojournalsimdsimdsjsp
View at Publisher
33
Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
Cited 112timeswwwelseviercomincapublicationsstore600244
View at Publisher
34
Cluster validity measures dynamic clustering algorithms
Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf
35
Leaders and laggards The influence of competing logics on corporate environmentalaction
Cited 33 times
View at Publisher
36
An empirical study of green supply chain management practices amongst UKmanufacturers
Cited 236 times
View at Publisher
Back to results Previous Next Top of page
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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raquo Update Address
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Zhu Q Geng Y Lai K-H
(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013
Diabat A Khodaverdi R Olfat L
(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4
Laosirihongthong T Adebanjo D Choon Tan K
(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164
Zhu Q Sarkis J
(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003
Zhu Q Sarkis J
(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345
Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107
Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110
Lee SM Kim ST Choi D
(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609
22
Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications
Cited 118 times
View at Publisher
23
An exploration of green supply chain practices and performances in an automotiveindustry
Cited 70 times
View at Publisher
24
Green supply chain management practices and performance
Cited 85 times
View at Publisher
25
An inter-sectoral comparison of green supply chain management in China Driversand practices
Cited 470 times
View at Publisher
26
The moderating effects of institutional pressures on emergent green supply chainpractices and performance
Cited 455 times
View at Publisher
27
Cited 168 times
28
Cited 70 times
29
Green supply chain management and organizational performance
Cited 126 times
View at Publisher
10 of 38
Zailani SHM Eltayeb TK Hsu C-C Tan KC
(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943
Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89
Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
copy Copyright 2018 Elsevier BV All rights reserved
30
The impact of external institutional drivers and internal strategy on environmentalperformance
Cited 91 times
View at Publisher
31
Cited 2 times
32
Purchasings involvement in environmental issues A multi-country perspective
Cited 120 timeshttpwwwemeraldinsightcominfojournalsimdsimdsjsp
View at Publisher
33
Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
Cited 112timeswwwelseviercomincapublicationsstore600244
View at Publisher
34
Cluster validity measures dynamic clustering algorithms
Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf
35
Leaders and laggards The influence of competing logics on corporate environmentalaction
Cited 33 times
View at Publisher
36
An empirical study of green supply chain management practices amongst UKmanufacturers
Cited 236 times
View at Publisher
Back to results Previous Next Top of page
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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raquo US amp Canada +1 800 678 4333
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
10 of 38
Zailani SHM Eltayeb TK Hsu C-C Tan KC
(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943
Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89
Zsidisin GA Hendrick TE
(1998) Industrial Management and Data Systems 98 (7) pp 313-320
doi 10110802635579810241773
Zhu Q Geng Y Sarkis J Lai K-H
(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821
doi 101016jtre201009013
Angel Latha Mary S Sivagami AN Usha Rani M
(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012
Herremans IM Herschovis MS Bertels S
(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z
Holt D Ghobadian A
(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212
copy Copyright 2018 Elsevier BV All rights reserved
30
The impact of external institutional drivers and internal strategy on environmentalperformance
Cited 91 times
View at Publisher
31
Cited 2 times
32
Purchasings involvement in environmental issues A multi-country perspective
Cited 120 timeshttpwwwemeraldinsightcominfojournalsimdsimdsjsp
View at Publisher
33
Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective
Cited 112timeswwwelseviercomincapublicationsstore600244
View at Publisher
34
Cluster validity measures dynamic clustering algorithms
Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf
35
Leaders and laggards The influence of competing logics on corporate environmentalaction
Cited 33 times
View at Publisher
36
An empirical study of green supply chain management practices amongst UKmanufacturers
Cited 236 times
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
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Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
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Figures
References
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
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References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
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Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
Sign in to Continue Reading
Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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raquo Change UsernamePassword
raquo Update Address
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raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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See the top organizations patenting intechnologies mentioned in this article
IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
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Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
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raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT
NEGARA
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
2018 The 5th International
Conference on Industrial
Engineering and Applications
Technical Program
April 26-28 2018
Shaw Foundation Alumni House National University of Singapore
Singapore
wwwicieaorg
Sponsored by Assisted by
ICIEA
2018
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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raquo Update Address
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
iii
2018 5th International Conference on Industrial Engineering and Applications
ICIEA 2018Table of Contents
Decision Analysis and Methods
Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes
for Cyber Physical System-Transformation 1
Endric Hetterscheid Florian Schluumlter
Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant
Pariaman Indonesia) 6
Difana Meilani Amelia Andiningtias Dicky Fatrias
Integration AHP and TOPSIS in Shipyard Location Selection 11
Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo
E-Business and E-Commerce
Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17
Xueqing Yu Lingyun Wei
Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21
Zhang Ying Chen Caixia Gu Wen Liu Xiaogang
Evaluating and Analyzing the Effectiveness of Online Advertising31
Huini Zhou Li Li Xiaoguang Gu
Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38
Clara Linggaputri Isti Surjandari Akhmad Hidayatno
Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii
Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
Sign in to Continue Reading
Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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raquo Payment Options
raquo Order History
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Need Help
raquo US amp Canada +1 800 678 4333
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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Click to Expand
See the top organizations patenting intechnologies mentioned in this article
IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
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raquo US amp Canada +1 800 678 4333
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raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
iv
Global Manufacturing and Engineering Economics
Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process
Standardization49
PingYu Chang Thi Thanh Nhan Phan
A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54
Tiep Nguyen Stephen Cook Indra Gunawan
Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60
Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa
Healthcare Systems and Management
A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67
Yin Han Lingyun Wei
A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72
Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang
Research on Health Monitoring Mechanism Based on Service Invocation79
Xuan Mei Xinming Tan
Business Process Reengineering for the Saline Management in Hospitals84
Sith Vilasdechanon Apichat Sopadang
The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending
TAM89
Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk
Human Factors
An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme
Programming 95
Ramlall Poonam Chuttur M Yasser
Intention of Opening Up the Network of Personal Data 100
Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai
The Differences of Individual Spatial Strategy on Their Solving Performance 105
Sakulporn Pornpanom Arisara Jiamsanguanwong
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
v
Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A
Conceptual Framework 110
Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn
Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa
116
Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu
Information Processing and Engineering
Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually
Impaired 122
Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande
Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration
and Thermal Limit 129
Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134
Soobin Choi Jaedong Kim Hanjun Lee
Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141
Shikha Singh Subhas Chandra Misra
Intelligent Systems
Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146
S J Chang K W Li
Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150
Yong Tao Gang Zhao Qiushi Li Wen Zhao
A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158
Chengcheng Zhu Shengdun Zhao Shuaipeng Li
Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163
Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo
Design and Implementation of IoT Based Smart Laboratory 169
M Poongothai P Muthu Subramanian A Rajeswari
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
Sign in to Continue Reading
Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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Figures
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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
vi
Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds
Formation 174
Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa
Improved Efficiency of Insect Pest Control System by SSPA 179
Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa
Manufacturing Systems
Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of
Joining Technology from the Viewpoint of an Automotive Supplier 184
Alexander Kreis Mario Hirz Severin Stadler
Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry
189
Lerdlekha Sriratana
The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194
Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute
Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process
199
Potejana Potejanasak
Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203
Anastasia Febiyani Bambang Suhardi Eko Pujiyanto
Modular Measuring System for the Force Distribution in Forming Processes 208
W Zorn L Hamm R Elsner W G Drossel
Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical
Transformation in Jinchuan Mine 214
Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding
Defect Reduction in the Board Front Door Trim Manufacturing Process 220
Punyisa Kuendee
Operations Research
Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization
Model A Systematic Literature Review 226
Erlangga Bayu Setyawan Dida Diah Damayanti
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
vii
A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and
Lingo Method 231
Jia Shuyuan Huang Li Li Qin Gu Yonghu
The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A
Algorithm 236
Yan Liu Lingyun Wei
Industrial Cluster Optimization Based on Linear Programming 241
Roberto Montemanni Jafar Jamal
Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine
Maintenance 247
Yangyang Fei Huimin Ma
Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing
of Maintenance Providers 254
Felix T S Chan Abdelrahman E E Eltoukhy
An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262
Mingyuan Wei Yifei Yuan Canrong Zhang
Height-Based Heuristics for Relocating Containers during Loading Operations 268
Yifei Yuan Canrong Zhang Ting Huang
A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274
Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana
Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279
Pimprapai Thainiam
A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary
Problems 284
Punyisa Kuendee Udom Janjarassuk
Production Planning and Control
Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289
Ryota Kamoshida
Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294
Jingying Huang Liya Wang
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
Sign in to Continue Reading
Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
viii
Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299
Yu-Hsiang Hsiao Guan-Ting Chen
An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304
Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li
An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310
Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang
Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA
Case Study 314
Jayaram Sivaramakrishnan Gareth Lee
Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321
Lovely Lady Ansor Firdaus
Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326
Yige Zhang Yuangen Lu Cangrong Zhang
Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique
333
Rattarak Moonpragarn Rungchat Chompu-inwai
Waste Reduction in the Shoe Sewing Factory 340
Pongpat Phetrungrueng
The Joint Replenishment Problem with Resource Restriction A Note 345
M I M Wahab Y Chen
Aggregate Planning in Canned Pineapple Production Lines 349
Datepard Charoenponyarrat Tuanjai Somboonwiwat
Applications of Data Mining
A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive
Maintenance 355
Nagdev Amruthnath Tarun Gupta
The Analysis of Matching Learners in Pair Programming Using K-Means 362
Naladtaporn Aottiwerch Urachart Kokaew
Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367
Jaedong Kim Hanjun Lee Soobin Choi
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
ix
Quality Control and product lifecycle Management
Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics
Optimization 373
Abhinav Kumar Sharma Indrajit Mukherjee
The TQM Integration in Procurement Function Performance 378
Bisalyaputra K
Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and
Fault Tree Analysis (FTA) 382
Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra
Success Determinants to Product Lifecycle Management (PLM) Performance 386
Shikha Singh Subhas Chandra Misra
Company Performance Measurement for Automobile Companies a Composite Indicator from an
Environmental Perspective 391
Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks
Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396
Kamolchanok Krachangchan Natcha Thawesaengskulthai
Service Innovation and Management
Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401
Chaudry Bilal Ahmad Khan
Implementation of Innovative Digitalization Methods in Reverse Engineering 406
Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova
Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410
Pijaya Na Bangxang Pisit Jarumaneeroj
A Design of Automated Parking System for Shopping Centers in Metro Manila 415
Ma Janice J Gumasing Charles Aaron V Atienza
Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in
Cabuyao City Laguna 420
Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo
Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424
Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
Institutional Sign In
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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IEEE Account
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raquo Communications Preferences
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raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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See the top organizations patenting intechnologies mentioned in this article
IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
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Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
x
Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429
Ma Janice J Gumasing Rex Aurelius C Robielos
Wristwatch Development Based on Kansei Engineering 435
Imam Djati Widodo Heavy Zerry Novibrilliawan
Innovative Product Development of Fabric Glass Interlayer 440
Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong
Systems Modeling and Simulation
A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor
Manufacturing 448
Jianqiu Huang Jingying Huang Liya Wang
Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453
Nara Samattapapong
Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive
Structural Modeling (ISM) Approach 458
Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha
Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463
Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal
District Model with Two Types of Vehicles for Transporting Sugarcane 468
Rujirat Patcharamethanon Kanchala Sudtachat
Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475
Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai
A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479
Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat
An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484
Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia
Technology and Knowledge Management
Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490
Helal Al Zaabi Hamdi Bashir
Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495
Chae Won Park Dae Ryong Seo
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
Sign in to Continue Reading
Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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Need Help
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
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Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
xi
Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499
Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal
A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504
Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo
Belief Representation of Design Mental Model Based on Design Rationale 510
Chen Ying Jing Shikai Wang Yedong Cheng Dada
Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515
Jianpei Chen Fei Gao Lingling Kong Lin Cui
Supply Chain Management
Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520
Duy Nguyen Duc Narameth Nananukul
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study
Furniture Industry at Central Java Semarang 526
Aries Susanty Diana Puspita Sari
Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food
Supply Chain 531
Nia Novitasari Dida Diah Damayanti
Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application
to Thai Tourism Supply Chain 536
Daraka Palang Korrakot Yaibuathet Tippayawong
An Economic Competitiveness Analysis of Power Generation Plants 543
Ndala Yves Mulongo Pule Kholopane
Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing
Business 548
Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat
Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555
Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De
Sabbata
A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan
Province 560
Yinyuan Si Wensheng Yang Huini Zhou
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
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Keywords
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
xii
A Sustainability Assessment of Electricity Supply Systems 565
Ndala Yves Mulongo Pule Kholopane
Author Index
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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raquo Communications Preferences
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raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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raquo Update Address
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raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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raquo US amp Canada +1 800 678 4333
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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References
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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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raquo Update Address
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raquo US amp Canada +1 800 678 4333
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raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
1040-1210 Friday 27 Apr
Session B-2 Supply Chain Management Venue Lemongrass Room
Chair
N066
Time 1040-1055
A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China
In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers
N108
Time 1055-1110
Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of
Institutional Sign In
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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raquo US amp Canada +1 800 678 4333
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
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Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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See the top organizations patenting intechnologies mentioned in this article
IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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raquo Change UsernamePassword
raquo Update Address
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raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Institutional Sign In
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Conferences gt 2018 5th International Confer
3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors
Demand management practices in the manufacturing industry An empiricalSouth African perspective
38FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III Methodology
IV Resultsampinterpretations
V Conclusion
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844216
DOI 101109IEA20188387071
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers
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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa
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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008
An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017
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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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raquo Update Address
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raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
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Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
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Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
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raquo Update Address
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raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Institutional Sign In
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors
Core challenges to cloud PLM adoption in large manufacturing firms
60FullText Views
Abstract
Document Sections
I Introduction
II Literature Review
III ResearchMethodology
IV Case Study and DataAnalysis
V Result and Discussion
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844276
DOI 101109IEA20188387085
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse
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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India
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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018
Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018
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raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
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Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
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IEEE Account
raquo Change UsernamePassword
raquo Update Address
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raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
Sign in to Continue Reading
Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
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IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors
Innovative product development of fabric glass interlayer
39FullText Views
Abstract
Document Sections
I Introduction
II Methodology
III Conclusion
Authors
Figures
References
Keywords
MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)
2
2
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844226
DOI 101109IEA20188387141
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively
Sign in to Continue Reading
Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand
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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008
Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005
View More
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Click to Expand
See the top organizations patenting intechnologies mentioned in this article
IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
Institutional Sign In
IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|
All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)
Advanced Search | Other Search Options
Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
Sign in to Continue Reading
Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Advertisement
More Like This
ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018
MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006
View More
Advertisement
Click to Expand
See the top organizations patenting intechnologies mentioned in this article
IEEE Account
raquo Change UsernamePassword
raquo Update Address
Purchase Details
raquo Payment Options
raquo Order History
raquo View Purchased Documents
Profile Information
raquo Communications Preferences
raquo Profession and Education
raquo Technical Interests
Need Help
raquo US amp Canada +1 800 678 4333
raquo Worldwide +1 732 981 0060
raquo Contact amp Support
A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions
About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|
My Settings Get HelpBrowse Subscribe
Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance
During this time saved searches will not be editable We apologize for any inconvenience
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Institutional Sign In
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Conferences gt 2018 5th International Confer
2 Author(s) Jingying Huang Liya Wang View All Authors
Makespan minimization on single batch-processing machine consideringpreventive maintenance
37FullText Views
Abstract
Document Sections
I Introduction
II Problem Description
III Batching Rule
IV Improved Heuristics
V ComputationalResults andDiscussions
Show Full Outline
Authors
Figures
References
Keywords
Metrics
Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Authors
Figures
References
Keywords
Metrics
AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective
Date of Conference 26-28 April 2018
Date Added to IEEE Xplore 18 June 2018
ISBN Information
INSPEC Accession Number 17844275
DOI 101109IEA20188387113
Publisher IEEE
Conference Location Singapore Singapore
I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs
Sign in to Continue Reading
Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina
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KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
KEYNOTE AND INVITE SPEAKERS
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Keynote Speech
Keynote Speech ndashI
Abstract of speech
Many products are designed to last longer than
the typical lifespan of human being Its thus a
challenge to validate the design life through
reliability tests even when testing is conducted
under much harsher environment Not only that
test duration is usually constrained but the
samples available for testing may also be costly
andor limited in quantity Statistically optimal
plans will allow for efficient use of testing
resources and yet derive the most information
from the test In this presentation we shall
discuss ideas related to designing test plans for
both constant stress and step stress ALT leading
to the statistical optimal plan for sequential ALT
While that of constant ALT is basically a Bayesian
approach that for the step stress ALT requires
solving a dynamic program using backward
induction For the latter optimal solutions are
only available for exponential lifetime and there
are rooms for further research
Loon Ching TANG
BIO Dr Loon Ching TANG is currently the Director of
Temasek Defence Systems Institute and Professor of
Department of Industrial Systems Engineering and
Management at the National University of Singapore
He obtained his PhD degree from Cornell University in
the field of Operations Research in 1992 and has
published extensively in areas related to industrial
engineering and operations research He has been
presented with a number of best paper awards
including the IIE Transactions 2010 Best Application
Paper Award and 2012 RA EvansPK McElroy Award
for the best paper at Annual RAMS Prof Tang is the
main author of the award-winning book Six Sigma
Advanced Tools for Black Belts and Master Black Belts
Besides being active in the forefront of academic
research in the last 25 years Prof Tang has served as
consultant for many organizations such as the
Ministry of Home Affair Singapore Power Republic of
Singapore Air Force Seagate HP Phillips etc on a
wide range of projects aiming at improving
organizational and operations efficiency especially
through better management of engineering assets He
is currently a fellow of ISEAM the Editor of Quality amp
Reliability Engineering International and an editorial
review board member of the flagship journal of ASQ
Journal of Quality Technology (since 2006) He has
served as the Region VP (Asia) of IIE (2013-16) and a
member of the advisory board of the Singapore
Innovation and Productivity Institute
Apr 26(Thu) 2018 1305-1350
Auditorium Room
ldquoPlanning Sequential Accelerated Life Testingrdquo
Prof Loon Ching TANG
National University of Singapore Singapore
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Keynote Speech ndashII
George ZHANG
BIO Professor Zhe George Zhang is a professor of
Management Science in the Department of Decision
Sciences at Western Washington University and a
professor of Operations Management in Beedie
School of Business at Simon Fraser University He is
also visiting professor of Sauder School of Business
at the University of British Columbia Dr Zhang
received his BS in Computer Science and MA in
Economics from Nankai University China his MBA
from the Schulich School of Business at York
University and his PhD in Operations research from
the University of Waterloo Professor Zhang has
published many papers in prestigious journals such
as Management Science Operations Research
Manufacturing amp Service Operations Management
Production and Operations Management IIE
Transactions IEEE Transactions Queueing Systems
Journal of Applied Probability Co-authored with
Professor Tian in 2006 he published the research
monograph Vacation Queueing Models - Theory
and Applications the first book on this particular
topic (now highly cited) Professor Zhangs research
interests include queueing theory and applications
and stochastic models for manufacturing and
service systems The main theme of his research is
to bridge the gap between theory and application
obtaining unobservable and sometimes
counter-intuitive but significantpractical
management insights via modeling and quantitative
analysis Currently he is particularly interested in
the quantitative and economic analysis of the
congestion problems in urbanmass transportation
networks healthmedical care systems and public
service systems with both customer service quality
and security concerns As an expert in data analysis
and quantitative modeling he has consulted in
industry and has given research seminars and short
lectures at leading universities around the world He
was invited to present plenary or keynote talks in
several international conferences Professor Zhang
is the one of Editor-in-Chiefs for new journal
Queueing Models and Service Management aan
associate editor of INFOR (Information Systems and
Operations Research) and is on the editorial board
of several international journals in Operations
Research and Management Science
Apr 26(Thu) 2018 1350-1435
Auditorium Room
ldquordquo
Prof George ZHANG
Western Washington University USA
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Keynote Speech ndashIII
Abstract of speech
The purpose of this paper is to investigate the
generalized age maintenance policies for a system
with random working times When the system fails
it is subject to one of two types of failures with
age-dependent probability type I failure can be
removed by minimal repair and type II failure must
be rectified by replacementA First the system is
preventively replaced before type II failure at time T
or at the completion of Nth working projects
whichever occurs first Two modified models where
the system is preventively replaced before type II
failure at time T or at the completion of Nth
working projects whichever occurs last and it is
preventively replaced at the first completion of the
working project over time T or at the completion of
Nth working projects whichever occurs first are
considered By introducing costs due to repairs
maintenance and replacement the expected cost
per unit time is derived as a criterion of optimality
and the optimal policy that minimizes that cost is
discussed analytically
Shey-Huei SHEU
BIO Professor Shey-Huei Sheu is a Chair Professor
of Department of Statistics and Informatics Science
at the Providence University He is an Honorary
Chair Professor of the Department of Industrial
Management at the National Taiwan University of
Science and Technology He received his MS
degree (1979) in applied mathematics from the
National Tsing Hua University and his PhD degree
(1987) in statistics from the University of Kentucky
He has published in journals such as Naval Research
Logistics Journal of Applied Probability RAIRO
Operations Research Microelectronics and
Reliability Reliability Engineering and System Safety
International Journal of Systems Science Quality
and Reliability Engineering International
International Journal of Reliability Quality and
Safety Engineering Journal of the Operational
Research Society European Journal of the
Operational Research Computers and Operation
Research Computers and Industrial Engineering
Quality Engineering Asia-Pacific Journal of the
Operational Research Communications in
Statistics-Theory and Methods Computers and
Mathematics with Applications Simulation
Modeling Practice and Theory Communications in
Statistics-Simulation and Computation Journal of
Statistical Computation and Simulation
International Journal of Production Economics
Quality Technology and Quantitative Management
The International Journal of Advanced
Manufacturing Technology Expert Systems
International Journal of Computer Mathematics
Journal of Applied Statistics Production Planning
and Control International Journal of Production
Research Applied Mathematical Modelling IEEE
Transactions on Reliability and Annals of
Operations Research
Apr 26(Thu) 2018 1435-1520
Auditorium Room
ldquoThe Generalized Age Maintenance Policies with
Random Working Timesrdquo
Prof Shey-Huei SHEU
Providence University Taiwan
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Keynote Speech ndashIV
Abstract of speech
IEEE 80211ah a specification belonging to 80211
wireless local area network (WLAN) protocol family
has been recently released to support the
long-range low-power and low-rate wireless
communication among smart devices used in
Internet of Thing (IoT) systems However security
requirements of the energy-constrained devices
have plenty of issues different from the traditional
wireless devices It requires that the lightweight
security protocols have to support low-power and
low-latency as well as the long-lasting features of
quantities of IoT devices The recently released IEEE
statndard IEEE 80211ai has specified a Fast Initial
Link Setup (FILS) which is a brand-new approach
aiming at establishing fast stable and secure links
among smart devices IEEE 80211ai could be applied
to other wireless systems such as the wireless
system of IEEE 80211ah with security
enhancements In this talk I would address the
secureity issues of IEEE 80211ai and IEEE 80211ah
with an new proposal to enhance the
authentication process in the link setup procedure
specified by IEEE 80211ai
Maode MA
BIO Dr Maode Ma is a Fellow of IET He received his
PhD degree in computer science from Hong Kong
University of Science and Technology in 1999 Now
Dr Ma is an Associate Professor in the School of
Electrical and Electronic Engineering at Nanyang
Technological University in Singapore He has
extensive research interests including network
security and wireless networking Dr Ma has about
350 international academic publications including
over 160 journal papers and about 190 conference
papers He has delivered over 50 keynote speeches
at various international conferences He has served
as various chairs for over 100 international
conferences He currently serves as the
Editor-in-Chief of International Journal of Computer
and Communication Engineering and International
Journal of Electronic Transport He also serves as a
Senior Editor or an Associate Editor for other 4
international academic journals Dr Ma is a Senior
Member of IEEE Communication Society and IEEE
Education Society and a Member of ACM He is the
Chair of the IEEE Education Society Singapore
Chapter and the Chair of the ACM Singapore
Chapter He has served as an IEEE Communication
Society Distinguished Lecturer from 2013-2016
Apr 26(Thu) 2018 1530-1615
Auditorium Room
ldquoEfficient and Secure Authentication Schemes for
IEEE 80211ah Networks rdquo
Prof Maode MA
Nanyang Technological University Singapore
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Keynote Speech ndashV
Abstract of speech
Stochastic aircraft routing (SAR) plays a critical role
in defining the routing plans of airlines which
include assigning the aircraft to flight legs and
determining the time and location of maintenance
to the aircraft Based on the routing plan specified
by the airlines the maintenance providers should
schedule their workforce to perform maintenance
operations by solving the maintenance staffing
problem (MSP) MSP helps maintenance providers
to build their staffing plans which include the
assignment of manpower to each aircraft so that
aircraft receive the required maintenance
operations as planned Practically for airlines the
routing plan will be interrupted (eg flight delays) if
an aircraft cannot be released from the
maintenance station punctually Similarly for
maintenance providers if an aircraft misses the
scheduled appointment at the maintenance station
this will also cause a huge interruption to their
staffing plan Therefore there is an interrelationship
between SAR and MSP In the literature the focus
of each problem has been traditionally considered
separately with only limited consideration of their
interrelationship In this paper we study SAR along
with MSP with the objective of investigating the
interrelationship between SAR and MSP For this
purpose we propose a coordinated configuration
of SAR and MSP that is formulated as a
leader-follower Stackelbery game in which SAR
acts as a leader and MSP acts as a follower This
game is enacted through a bi-level optimization
model which is solved by a bi-level nested ant
colony optimization (ACO) algorithm A case study
of a major airline and maintenance provider located
in the Middle East is presented to demonstrate the
feasibility and potential of the proposed model The
results demonstrate significant saving in the costs
of both companies
Felix TS CHAN
BIO Professor Felix T S Chan received his BSc
Degree in Mechanical Engineering from Brighton
Polytechnic (now University) UK and obtained his
MSc and PhD in Manufacturing Engineering from
the Imperial College of Science and Technology
University of London UK Professor Chan is now
working at the Department of Industrial and
Systems Engineering The Hong Kong Polytechnic
University and also serving as Associate Dean
(Research) at the Faculty of Engineering His current
research interests are Logistics and Supply Chain
Management Operations Management
Distribution Coordination Systems Modelling and
Simulation AI Optimisation To date he has
published 16 book chapters over 300 refereed
international journal papers and 250 peer reviewed
international conference papers h index= 30 under
the Web of Science He is a chartered member of
the Chartered Institute of Logistics and Transport in
Hong Kong According to a study lately published in
the International Journal of Production Research
(httpdxdoiorg1010800020754320151037935)
the study measured the research contributions over
a 26-year time frame (1985-2010) of academic
institutions and individual authors to the field of
Apr 26(Thu) 2018 1615-1700
Auditorium Room
ldquoInvestigating the Interrelationship between
Stochastic Aircraft Routing of Airlines and
Maintenance Staffing of Maintenance Providersrdquo
Prof Felix TS CHAN
The Hong Kong Polytechnic University Hong Kong
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Operations Management (OM) based on published
articles in 11 top-rated and well-known academic OM
journals Professor Chan was among the top 50
prolific authors list who have made the greatest
overall contribution to the field as measured by the
number of distributed and shared articles published
in the 11 designated journals Also Professor Chan
was Ranked No 3 in The top 100 authors as the
most productive researchers in the field of
Operations Management over the past 10 years
(2001-2010)
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
COMMITTEE
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
ICIEA 2018 Organizing Committee
International Advisory Committee
Zhe George Zhang Western Washington University USA
Conference Chairs
Felix T S Chan The Hong Kong Polytechnic University Hong Kong
Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan
Local Organizing Chair
TANG Loon Ching National University of Singapore Singapore
Organizing and Program Committees
Seoung Bum Kim School of Industrial Mangement Engineering Korea University
Usik Lee Inha University Korea
Maode Ma Nanyang Technological University Singapore
Finance Chair
Minghan Xi Dalian Maritime University China
International Technical Committees
Cheng-Feng HuNational Chiayi University Taiwan
Dong-Yuh YangNational Taipei University of Business Taiwan
Mario HirzGraz University of Technology Austria
Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt
Po-Hsiang Liu College of Business and Management in St Johns University USA
Taesu Cheong Korea University Korea
Tien-Lun Liu Chung Yuan Christian University Taiwan
Wei CaiWuhan University of Technology China
Jinguo Huang Huazhong University of Science and Technology China
Yu-Chung Tsao National Taiwan University of Science Technology Taiwan
Yip Mum WaiTunku Abdul Rahman University College Malaysia
Pule Kholopane University of Johannesburg South Africa
Bonivasius Prasetya Ichtiarto mercu buana university Indonesia
Elita Amrina Andalas University Indonesia
Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan
Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong
Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India
Byung Do Chung Yonsei University Korea
M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia
Sandeep Singhal National Institute of Technology India
J W Wang The University of Hong Kong Hong Kong
Ching-Chang Kuo National Taichung University of Science and Technology Taiwan
Kuo-Hsiung Wang Providence University Taiwan
ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia
Sangbok Lee Hansung University Korea
Adrian E Coronado Mondragon Royal Holloway University of London UK
Chin-I Lee Ling Tung University Taiwan
S H ChoiUniversity of Hong Kong Hong Kong
Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan
Wei Cai Wuhan University of Technology China
Hashibah Hamid Universiti Utara Malaysia Malaysia
TMA Ari Samadhi Bandung Institute of Technology Indonesia
Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia
Pi-Chun Hsu Chaoyang University of Technology Taiwan
Mu-Chen Chen National Chiao Tung University Taiwan
Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan
Tsu-Wei Yu Chaoyang University of Technology Taiwan
Lingyun Wei Beijing University of Posts and Telecommunications China
Hamdi Bashir University of sharjahUnited Arab Emirates
LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand
LIU Hai-peng Kunming University of Science and Technology China
Elfira Febriani Trisakti University Indonesia
Yu-Hsiang Hsiao National Taipei University Taiwan
Chien-Chih Wang Ming Chi University of Technology Taiwan
Atichart Harncharnchai Chiang Mai University Thailand
Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)
Switzerland
Bambang Suhardi Universitas Sebelas Maret Indonesia
Ssu Han Chen Ming Chi University of Technology Taiwan
Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia
Augustina Asih Rumanti Bandung Institute of Technology Indonesia
Maheshwar Dwivedy BML Munjal University India
Zhichuan Guan China university of petroleum (East China) China
Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia
Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia
Yenming J Chen National Kaohsiung University of Science and Technology Taiwan
Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand
Li Li Nanjing University of Science and Technology China
SERTIFIKAT
SERTIFIKAT