Lecture Notes in Logistics

Series Editors

Uwe Clausen, Dortmund, GermanyMichael ten Hompel, Dortmund, GermanyRobert de Souza, Singapore, Singapore

For further volumes:http://www.springer.com/series/11220

Hans-Jörg Kreowski • Bernd Scholz-ReiterKlaus-Dieter ThobenEditors

Dynamics in Logistics

Third International Conference,LDIC 2012 Bremen, Germany,February/March 2012 Proceedings

123

EditorsProf. Dr.-Ing. Hans-Jörg KreowskiDepartment of Computer ScienceUniversity of BremenBremenGermany

Prof. Dr.-Ing. Bernd Scholz-ReiterRector of the University of BremenBremenGermany

Prof. Dr.-Ing. Klaus-Dieter ThobenBremer Institut für Produktion

und Logistik (BIBA)University of BremenBremenGermany

ISSN 2194-8917 ISSN 2194-8925 (electronic)ISBN 978-3-642-35965-1 ISBN 978-3-642-35966-8 (eBook)DOI 10.1007/978-3-642-35966-8Springer Heidelberg New York Dordrecht London

Library of Congress Control Number: 2013934015

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Preface

LDIC 2012 was the 3rd International Conference on Dynamics in Logistics held inBremen (Germany) from 27th February to 1st March 2012 together with a DoctoralWorkshop. The LDIC 2012 was held in conjunction with the new conference ‘‘TheImpact of Virtual, Remote and Real Logistics Labs’’ (ImViReLL’12). Similar to itspredecessors LDIC 2007 and LDIC 2009, it was organized by the Bremen ResearchCluster for Dynamics in Logistics (LogDynamics) of the University of Bremen incooperation with the Bremer Institut für Produktion und Logistik (BIBA), which isa scientific research institute affiliated to the university.

The scope of the conference targets the identification, analysis, and descriptionof the dynamics of logistic processes and networks. The spectrum of topics rangesfrom modeling and planning of processes and innovative methods like autonomouscontrol and knowledge management to the new technologies provided by radiofrequency identification, mobile communication, and networking. The growingdynamics in the area of logistics poses completely new challenges: logistic pro-cesses and networks have to rapidly and flexibly adapt to continuously changingconditions. LDIC 2012 provided a venue for researchers from academia andindustry interested in the technical advances in dynamics in logistics. The con-ference addressed research in logistics from a wide range of fields, e.g., engi-neering, computer science, and operations research.

The LDIC 2012 proceedings consist of two invited keynotes and 49 papersselected by a strong reviewing process. The volume is organized into the followingten subject areas: ‘‘Invited Papers’’, containing the contributions of the invitedspeakers, ‘‘Transport Logistics and Dynamic Routing’’, ‘‘Production Logistics andJob Shop Scheduling’’, ‘‘Modeling, Simulation, Optimization and Collaboration’’,‘‘Identification Technologies’’, ‘‘Mathematical Modeling in Transport andProduction Logistics’’, ‘‘Information, Communication, Risk and Failure’’,‘‘Autonomous Control’’, ‘‘Global Supply Chains and Industrial Application’’ and‘‘Considerations for a Future Internet of Things’’.

We would like to thank the members of the program and organization com-mittee and the secondary reviewers Jan Ole Berndt, Melanie Bloos, MarcusErmler, Vaggelis Giannikas, Michael Görges, Marc-André Isenberg, Farian

v

Krohne, Sabine Kuske, Walter Lang, Melanie Luderer, Michael Lütjen, JeanetteMansfeld, Afshin Mehrsai, Susanne Schukraft, Michael Teucke, Hendrik Thamer,Dirk Werthmann, and Jiani Wu for their help in the selection process. We arealso grateful to Aleksandra Himstedt, Jakub Piotrowski, Ingrid Rügge, DieterUckelmann, and several other colleagues for their support in the local organizationand for the technical assistance in running the conference system. Special thanksgo to Ingrid Rügge and Marcus Seifert for organizing the doctoral workshop ofLDIC 2012. We are particularly indebted to Caroline von Totth for her support inediting this volume and in careful unification of the print files of all the contri-butions. Moreover, we would like to acknowledge the financial support by theBIBA, the Research Cluster for Dynamics in Logistics (LogDynamics), the Centerfor Computing and Communication Technologies (TZI), and the University ofBremen. Finally, we appreciate once again the excellent cooperation with theSpringer-Verlag.

Bremen, November 2012 Hans-Jörg KreowskiBernd Scholz-Reiter

Klaus-Dieter Thoben

vi Preface

Committees

Program

Dieter Armbruster, Tempe (Arizona, USA)Abdelaziz Bouras, Lyon (France)Neil A. Duffie, Madison (Wisconsin, USA)Enzo M. Frazzon, Florianópolis (Brazil)Axel Hahn, Oldenburg (Germany)Mark Harrison, Cambridge (UK)Bonghee Hong, Pusan (Republic of Korea)Alamgir Hossain, Newcastle upon Tyne (UK)Kap Hwan Kim, Pusan (Republic of Korea)Antonio G. N. Novaes, Florianópolis (Brazil)Mykhailo Postan, Odessa (Ukraine)Christian Prins, Troyes (France)Antonio Rizzi, Parma (Italy)

Organization

Carmelita GörgHans-Dietrich HaasisAleksandra HimstedtMichael HülsmannHerbert KopferHans-Jörg Kreowski (co-chair)Michael LawoRainer MalakaJakub PiotrowskiRobert PorzelIngrid Rügge

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Bernd Scholz-Reiter (co-chair)Jörn SchönbergerMarcus SeifertKlaus-Dieter Thoben (co-chair)Caroline von TotthDieter UckelmannKatja Windt

viii Committees

Contents

Part I Invited Papers

The Future of Manufacturing Utilizing Tagging Technology . . . . . . . . 3Gisele Bennett

Fault Detection in Dynamic Vehicle Routing Operations. . . . . . . . . . . 13Antonio G. N. Novaes, Edson T. Bez and Paulo J. Burin

Part II Transport Logistics and Dynamic Routing

Knowledge Sharing in Intermodal Transport: A Multi-AgentBased Perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Jiani Wu and Hans-Dietrich Haasis

Emissions Minimization Vehicle Routing Problem in Dependenceof Different Vehicle Classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Heiko W. Kopfer and Herbert Kopfer

Product Intelligence in Intermodal Transportation: The DynamicRouting Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59Vaggelis Giannikas and Duncan McFarlane

Cargo Telematics for Operational Transport Excellenceand Strategic Knowledge Management. . . . . . . . . . . . . . . . . . . . . . . . 71Matthias Klumpp, Christof Kandel and Erik Wirsing

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Part III Production Logistics and Job Shop Scheduling

Towards an Integrated Production and Outbound DistributionPlanning Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85Bernd Scholz-Reiter and Christian Meinecke

Supply Chain Integration by Human-Centred Alignmentof Lean Production Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93Yilmaz Uygun and Natalia Straub

The Multiple Batch Processing Machine Problem with StageSpecific Incompatible Job Families. . . . . . . . . . . . . . . . . . . . . . . . . . . 113Marc-Andrè Isenberg and Bernd Scholz-Reiter

Scheduling Multiple Batch Processing Machines with StageSpecific Incompatible Job Families. . . . . . . . . . . . . . . . . . . . . . . . . . . 125Marc-Andrè Isenberg and Bernd Scholz-Reiter

A Comparison of Network Characteristics in Metabolicand Manufacturing Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141Till Becker, Mirja Meyer, Moritz E. Beber, Katja Windtand Marc-Thorsten Hütt

Part IV Modeling, Simulation, Optimization and Collaboration

Conflicting Optimization Goals in Manufacturing Networks:A Statistical Analysis Based on an Idealized Discrete-Event Model . . . 153Reik V. Donner and Jörg Hanke

Modeling the Basic Cause-Effect Relationship Between SupplyChain Events and Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163Georg Heinecke, Jonathan Köber, Andreas Kunz and Steffen Lamparter

The Importance of Managing Events in a Build-to-OrderSupply Chain: A Case Study at a Manufacturerof Agricultural Machinery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175Jonathan Köber and Georg Heinecke

A Dynamic Approach to Measure the Effect of PostponementStrategy on the Performance of Manufacturingand Logistics Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187Luiz Eduardo Simão and Mirian Buss Gonçalves

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Event Management for Uncertainties in Collaborative ProductionScheduling and Transportation Planning: A Review . . . . . . . . . . . . . . 199Bernd Scholz-Reiter, Yi Tan, Nagham El-Berishyand José B. S. Santos Jr.

Study on the Application of DCOR and SCOR Modelsfor the Sourcing Process in the Mineral Raw Material IndustrySupply Chain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211Raul Zuñiga, Marcus Seifert and Klaus-Dieter Thoben

Part V Identification Technologies

Service Oriented Platform for RFID-Enabled Real-TimeFleet Advanced Planning and Scheduling in Industrial Parks . . . . . . . 223L. Y. Pang, George Q. Huang and R. Y. Zhong

Towards Agile and Flexible Air Cargo Processes with LocalizationBased on RFID and Complex Event Processing . . . . . . . . . . . . . . . . . 235David Rüdiger, Moritz Roidl and Michael ten Hompel

Smart Agri-Food Logistics: Requirements for the Future Internet . . . 247C. N. Verdouw, H. Sundmaeker, F. Meyer, J. Wolfert and J. Verhoosel

Design and Implementation of a Virtual Reader for GeneratingMultiple Tag Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259Jiwan Lee, Wooseok Ryu, Joonho Kwon and Bonghee Hong

Dynamic Tag Identity-Based Encryption Schemefor Logistic Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267Jongseok Choi and Howon Kim

Queuing Buffer Method for Enhancing Reliabilityof Capturing Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277Taewoo Nam, Inhwan Lee, Byeongsam Kim and Keunhyuk Yeom

Part VI Mathematical Modeling in Transportand Production Logistics

Dynamic Optimization Model for Planning of IntegratedLogistical System Functioning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291Iryna V. Morozova, Mykhaylo Ya. Postan and Sergey Dashkovskiy

Contents xi

A Graph Model for the Integrated Scheduling of IntermodalTransport Operations in Global Supply Chains . . . . . . . . . . . . . . . . . 301Willian Chaves Mates, Enzo Morosini Frazzon, Jens Hartmannand Sérgio Fernando Mayerle

Exploitation of Due Date Reliability Potentials: MathematicalInvestigation of the Lead Time Syndrome . . . . . . . . . . . . . . . . . . . . . 313Mathias Knollmann and Katja Windt

A Multi-Level Programming Model and Solution Algorithmfor the Location of Distribution Centers with Uncertainty Demand . . . 327Patareeya Lasunon and Raknoi Akararungruangkul

A Method to Estimate the Accumulated Delivery Time Uncertaintyin Supply Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337Mehdi Safaei, Safir Issa, Marcus Seifert, Klaus-Dieter Thobenand Walter Lang

An LMI Approach to Exponential Stock Level Estimationfor Large-Scale Logistics Networks . . . . . . . . . . . . . . . . . . . . . . . . . . 349Hamid Reza Karimi

Part VII Information, Communication, Risk, and Failure

Characterization of Thermal Flow Sensors for Air FlowMeasurements in Transport Containers . . . . . . . . . . . . . . . . . . . . . . . 361Safir Issa and Walter Lang

Design and Implementation of Location-Based Handoff Schemefor Multimedia Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 371Dong Hyun Kim and Jong Deok Kim

Reconfiguring Multi-Rate Wi-Fi Mesh Networks with FlowDisruption Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383Yafeng Zhou, Sang-Hwa Chung and Han-You Jeong

Maintenance Work Order Based on Event-Driven Informationof Condition-Monitoring Systems—A Genetic Algorithmfor Scheduling and Rescheduling of Dynamic Maintenance Orders . . . 395Marco Lewandowski, Oliver Siebenand, Stephan Oelkerand Bernd Scholz-Reiter

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A Procedure for the Selection of a Supply Network Risk MitigationStrategy in Relational Arrangements . . . . . . . . . . . . . . . . . . . . . . . . . 405José B. S. Santos Júnior, Sérgio A. Loureiro and Orlando F. Lima Júnior

Optimization of Failure Behavior of a Decentralized High-Density2D Storage System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415Kai Furmans, Kevin R. Gue and Zäzilia Seibold

Part VIII Autonomous Control

Distributed Reinforcement Learning for Optimizing ResourceAllocation in Autonomous Logistics Processes . . . . . . . . . . . . . . . . . . 429Jan Ole Berndt and Otthein Herzog

Improving Returnable Transport Equipment Managementwith an Autonomous Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441Rebecca Aggarwal and Ming K. Lim

Stability Analysis Scheme for Autonomously Controlled ProductionNetworks with Transportations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453Sergey Dashkovskiy, Michael Görges and Lars Naujok

Towards the Learning Behaviour and Performanceof Artificial Neural Networks in Production Control. . . . . . . . . . . . . . 465Bernd Scholz-Reiter and Florian Harjes

Part IX Global Supply Chains and Industrial Application

A Framework of the Forces Influencing the Adaptationof the SCOR Model to the Situation of the ManufacturingIndustry in Developing Countries. . . . . . . . . . . . . . . . . . . . . . . . . . . . 477Fasika B. Georgise, Klaus-Dieter Thoben and Marcus Seifert

The Impact of Near Sourcing on Global Dynamic Supply Chains:A Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489Anna Corinna Cagliano, Alberto De Marco and Carlo Rafele

Simulation-Based Analysis of Integrated Productionand Transport Logistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499Enzo Morosini Frazzon, Joarez Pintarelli, Thomas Makuschewitzand Bernd Scholz-Reiter

Contents xiii

Logistics Integrated Product Development in the GermanAutomotive Industry: Current State, Trends and Challenges . . . . . . . 509Ingrid Göpfert and Matthias Schulz

Efficient and Safe Transporting of Steel Sheetswith Permanent Magnets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521Johannes Schröck and Bernd Orlik

Part X Considerations for a Future Internet of Things

The Effective Method for Distributed Information Gainin EPC Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 531Taewoo Nam, Byeongsam Kim and Keunhyuk Yeom

Man–Machine-Interaction in the Field of Logistics:Example ‘‘Internet of Things’’ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545Lars Windelband and Georg Spöttl

Sensor Reader Emulator for Integrating Sensor Networksinto EPCglobal Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 557Joo-Ho Lee, Oh-Heum Kwon and Ha-Joo Song

A Design of Distributed Discovery Service of EPCglobal. . . . . . . . . . . 571Gihong Kim, Bonghee Hong and Joonho Kwon

xiv Contents