“MULTI-CRITERIA DECISION MAKING (MCDM) TECHNIQUES AND ...

Calcutta Business SchoolDiamond Harbor Road, Bishnupur,

24 Parganas (S) – 743503, West Bengal

TWO WEEK CERTIFICATECOURSE ON

Duration: August 24 – September 04, 2020Total Hours: 20

Mode: Virtual (using Zoom Platform)Timing: Each day from 6.30 pm to 8.30 pm

“MULTI-CRITERIA DECISION MAKING (MCDM)

TECHNIQUES AND APPLICATIONS”

In recent time the world has been threatened with the adverse impact of COVID 19. It is not about the number of deaths or infected cases only, but every sphere of social life and economic activities are affected. Slowly, as the storm is passing by, the world is moving towards a ‘new normal’. At this point in time, it is quite imperative to understand the norms of the ‘new normal’. From business point of view, experts (Deloitte) believe that data-driven decision-making and agile action would be the key to success. Since, this pandemic has changed the modus operandi from physical to virtual for a majority number of business operations; it has become even more complex to take prudent and timely decision. Further, under extreme volatile situations, the cost of wrong decisions is now enormously high. On the other side, in order to cope up with the financial constraints, in coming phase the organizations will put more emphasis on low cost, easy to use and fast decision-support system. Therefore, in the post-COVID 19 phase organization’s success will be dependent on both individual intelligence (at down the level) and group intelligence (collective opinions) for decision-making.

Needless to mention, the emphasis in ‘new normal’ will be more given on

• building analytical abilities and • fast and effective decision-making without incurring much cost for implementing decision support systems or procuring proprietary

software.

In this regard, Multi-Criteria Decision Making (MCDM) or Multi-Criteria Decision Analysis (MCDA)

• helps the decision-makers to balance conflicting objectives for selecting the best course of action among the available alternatives in a given situation.

• provides an easy to implement and fast decision support system that complements the cost-benefit analysis.

For example, an entrepreneur can evaluate the feasibility of various alternate courses of action with the help of MCDM frameworks without incurring additional cost. MCDM techniques are widely popular and are being extensively used in various decision-making scenarios (with varying level of complexity) involving a single decision-maker or a group of opinion-makers. Various application areas include

• choice of product while using e-commerce platform like Amazon or Flipkart• selection of distribution centres • facility location planning• vendor selection• personnel selection for recruitment• employee and customer satisfaction survey• deciding on promotional mix• investment decision-making • tourists’ considerations for destination planning• employee performance management• evaluation of product performances• organizational performance assessment• risk assessment for insurers• evaluation of critical care requirements in healthcare

and the list continues

In fact, MCDM is applicable to the problem that a store-keeper or local shop owner is facing and equally applicable in strategic decision-making for a large organization. MCDM provides a low-cost and easy to operate platform to solving trivial as well as complex scenarios with full information and/or imprecise information. For obvious reason, it is an integral part of business intelligence (BI) which analyzes potential decisions, the interactions between decisions, the influences that bear upon these decisions and the bearing all of the above has on an outcome to ultimately prescribe the best course of action for a given situation. For its wide applicability, MCDM has drawn significant attention of the academic fraternity also. It is a sub-discipline of Operations Research which enables the decision-makers to combine both cognitive and normative dimensions while taking a rational step.

The above-mentioned facts have motivated to introduce this introductory level course on MCDM. After attending this course, the participants shall

• Be conversant with MCDM techniques and their applications• Develop an ability to analyze complex decision making problems• Build a skill to promote cost vs. benefit analyses• Be able to provide better decision justification

BACKGROUND

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SESSION PLAN

ABOUT THE COURSE

Day 1: August 24, 2020

Introduction to Multi-Criteria Decision Making (MCDM) fundamentals i. Introduction to MCDM process ii. Why MCDM is relevant in business management? iii. Application areas iv. Basic framework for MCDM v. Classification of MCDM Techniques


Deriving the criteria weight i. Significance of criteria weight ii. Classification of techniques for deriving criteria weight iii. Finding criteria weight using objective information: Entropy Method iv. Finding criteria weight using subjective information: Analytic Hierarchy Process (AHP)


Distance based MCDM Techniques & applicationsThe Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS); Evaluation based on Distance from Average Solution (EDAS) etc.


Decision Making Trial and Evaluation Laboratory (DEMATEL): Technique & ApplicationInterpretive Structural Modeling (ISM): Technique & Application


Additive Methods: Technique & Application Weighted Aggregated Sum Product Assessment (WASPAS); Simple Additive Weight (SAW) etc.


Group Decision Making Methods: SWARA, ARAS etc.

Day 7: September 01, 2020

Data Envelopment Analysis (DEA): Conceptual framework


Data Envelopment Analysis (DEA): Application


Fuzzy MCDM techniques & Application: Fuzzy AHP; Fuzzy TOPSIS


Newly developed MCDM frameworks • Criteria weight: LBWA method • Ranking: Compromise Solution based method

This course aims to acquaint the participants with hands-on knowledge of some well-known and widely used MCDM techniques. It will be conducted in a workshop mode wherein the fundamental concepts of some widely used and advanced MCDM techniques and their applications in solving complex problems will be demonstrated. The application areas will be primarily taken from business management though the techniques can be equally applicable to similar kind of situations and/or problems pertaining to any domains of engineering and basic sciences; social issues and daily life as well. At least 60% attendance and submission of assignments/response to quizzes are mandatory for getting the certificate. The participants will be encouraged to solve their own problems using the techniques to be discussed in the sessions.

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WHO SHOULD ATTEND?

PRE-REQUISITE FOR ATTENDING THIS COURSE

Faculty members of undergraduate colleges, management colleges and those teaching at the post graduate level, BBA/MBA/PGDM students, B.Tech/M.Tech Students, M.Com students, Research Scholars and Industry Practitioners dealing with MCDM problems and any other doing research and/or having interest in the stated field.

It is not mandatory but desirable that the participants have• Practical knowledge on Microsoft Excel & R• Elementary idea about Matrix Algebra

REGISTRATION FEE

• Faculty Members : INR 2000 only

• Research Scholars : INR 500 only

• Students (Undergraduate/Post-graduate) : INR 200 only

• Practitioners (Industry) : INR 3000 only

• Beneficiary Name : CALCUTTA BUSINESS SCHOOL

• Bank Name : AXIS BANK LIMITED

• Branch : AMTALA

• Account No. : 440010100106092

• IFSC : UTIB0000440

The registration form is also given in the annexure. For payment, please find the details given below (Please pay before you register yourself)

Registration Link: https://forms.gle/zn2vREV3bybrpU9T7

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Dr. Gautam BandyopadhyayProfessor Bandyopadhyay is presently an Associate Professor in Department of Management Studies, National Institute of Technology, Durgapur. He has completed his PhD in Management Studies from Jadavpur University. He is FICWAI and FCMA qualified from ICWAI. Dr. Bandyopadhyay is a graduate in Operations Research from the Operational Research Society of India. His research works are published in numerous Foreign Peer-review Journals & Indian peer-reviewed journals. As on date he has successfully guided 13 numbers of PhD scholars and 7 scholars are presently working under his guidance. His research mainly involves with Financial Capital market and portfolio optimization

using different soft computing techniques such as, Fuzzy Goal Programming, Fuzzy Time Series, Different Statistical Multivariate Techniques And Optimization Techniques like DEA using SPSS, EVIEWS and LINGO software and also by R studio for big data analysis. He has conducted numerous workshop, short-term course & Summer/Winter School especially in the area of Research Methodology in different Universities and in different B-School of Management using the software SPSS, EVIEWS, R-Studio and LINGO. He was former Head of the Department in Department of Management Studies, National Institute of Technology and acted as Expert Member for Inspection of different Management Colleges under West Bengal University of Technology, India. Before coming to the academic he had 13 years of experience in consultancy in software field.

Dr. Samarjit Kar Dr. Samarjit Kar is a Professor and HOD in the Department of National Institute of Technology Durgapur, India. He has published more than 100 articles on international journals including European Journal of Operational Research, Information Sciences, Expert Systems with Applications, Interfaces, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Circuits and Systems for Video Technology, Applied Soft Computing, International Journal of Production Economics, Computers and Operations Research, Applied Mathematical Modelling, Applied Mathematics and Computations, Computers and Mathematics with Applications, Computers and Industrial Engineering, Annals of

Operations Research, Soft Computing, Neural Computing and Applications and so on. He served as the Guest Editor of IEEE Transactions on Fuzzy Systems and Sustainability.

Dr. Debabrata DattaDr. Debabrata Datta, Senior Scientist-H (Retd.) is a Professor of Physical Science, Homi Bhabha National Institute, Former, Head, Radiological Physics & Advisory Division, Bhabha Atomic Research Centre, Mumbai – 400085, Adjunct Professor, SRM Institute of Technology (SRM University), Kattankulathur, Chennai. He is a Graduate in Physics (Honors), University of Kolkata, Master of Science (Theoretical Nuclear Physics), University of Kolkata, India, M.Phil (High Energy Nuclear Physics), Saha Institute of Nuclear Physics, University of Kolkata, Graduate in Nuclear Engineering, BARC Training School (28th Batch), HBNI, Ph. D (Computer Science/Physics), Mumbai University, India. During his long 34 years

of teaching and R&D career, Professor Datta has received several awards and recognitions such as Who’s WHO in the World (2014-2020), Millennium Plaques of Honour (Eminent Scientist & National Award) from Indian Science Congress Association (ISCA) in 2010, (Award received from Dr. Manmohan Singh, Ex, Prime Minister of India), Group Achievement Award for Science & Technological Excellence from BARC in 2018, Jalvigyan Puraskar - Best Research Paper Award – from ISH Journal of Hydraulic Engineering in 2018, Meritorious Award (from National Society of Radiation Physics-NSRP) in 2008, Meritorious Award (Association of Medical Physicists of India-AMPI) in 2013, Meritorious Award (Association of Medical Physicists of India-AMPI) in 2018. His fields of interest are Mathematical & Statistical Modeling using Artificial Intelligence / Machine Learning / Soft Computing (Neural Networks, Fuzzy Mathematics, Fuzzy Expert System, Rough Sets), Sensitivity and Uncertainty Analysis, Risk Analysis and Data Analytics/Data Mining.

Dr. Dragan PamucarDragan Pamucar, PhD is an Associate Professor at the University of Defence in Belgrade, the Department of Logistics, Serbia. Dr. Dragan Pamucar obtained his MSc at the Faculty of Transport and Traffic Engineering in Belgrade in 2009, and his PhD degree in Applied Mathematics with specialization in Multi-Criteria Modelling and Soft Computing Techniques at University of Defence in Belgrade, Serbia in 2013. His research interest includes the fields of computational intelligence, multi-criteria decision making problems, neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory, with applications in a wide range of logistics problems. Dr. Pamucar has

authored/co-authored over 90 papers published in SCI and SCOPUS indexed International journals and several books.

RESOURCE PERSONS

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Dr. Prasenjit ChatterjeeDr. Prasenjit Chatterjee is currently working as an Associate Professor and Head of Mechanical Engineering Department at MCKV Institute of Engineering, India. He has over 80 research papers in various international journals and peer reviewed conferences, including International Journal of Production Research, Applied Soft Computing, Computers and Industrial Engineering, Management Decision, Clean Technologies and Environmental Policy, Journal of Cleaner Production, Journal of Natural Fibers, Benchmarking: an International Journal, OPSEARCH, International Journal of Advanced Manufacturing Technology, Materials and Design, Robotics and Computer Integrated Manufacturing to name a few. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Bright

Researcher Award, Outstanding Researcher Award and University Gold Medal. He is the Guest Editor of several special issues in different Scopus and Emerging Sources Citation Index (Clarivate Analytics) indexed journals. He has authored and edited books on decision-making approaches, supply chain and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research, Emerald Group Publishing; Smart and Intelligent Computing in Engineering, CRC Press, Taylor and Francis Group; AAP Research Notes on Optimization and Decision Making Theories; and Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, a partner of CRC Press, Taylor and Francis Group. Dr. Chatterjee is one of the developers of two data-driven decision making methods, popularly known as Multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

Dr. Surapati PramanikDr. Surapati Pramanik received Ph. D. in Mathematics in 2010 from Indian Institute of Engineering Science and Technology, (IIEST), Shibpur formally known as Bengal Engineering and Science University, Shibpur. He is currently serving as an Assistant Professor, in the Department of Mathematics, Nandalal Ghosh B.T. College, North 24 Parganas, West Bengal. He has more than 15 years of experience in teaching and research. His research interests include Operations research, soft computing, and Fuzzy sets. He has published 130 research papers in reputed International and National journals, 25 book chapters, and two edited books, and he is author or co-author of 7 books. He has also received Outstanding/best paper awards: 6 times in West Bengal State Science and Technology Congress (2008, 2010, 2013, 2017, 2018, 2019) in Mathematics or Social Science.

Dr. Sujit DasCurrently designated as Assistant Professor in the Computer Science & Engineering Dept. of NIT Warangal. Awarded PhD from the Dept. of Computer Science and Engineering, NIT Durgapur in 2016 with 16 years’ rich experience in teaching along with 8 years’ experience in research with quality Educational sector. Published 40 papers in the referred Journals and Conferences and scored 700+ citations. Achieved 3 Conference best paper awards in CSO 2014 Beijing, FICTA 2015 Durgapur, and FORBS 2018, Kolkata. Also working as course instructor in the Universal Human Values (UHV) course to nurture the human minds in order to bring the feelings of happiness in our society at the larger perspective.

Dr. Jagannath RoyDr. Jagannath Roy is presently working as an Assistant Professor in the department of Mathematics of NIT, Warrangal. He holds B.Sc (Hons.) from Jadavpur University, Kolkata; M.Sc from IIT, Madras, Chennai and PhD in Mathematics from NIT, Durgapur. He also did DR. D. S. KOTHARI Postdoctoral Fellow at the Department of Mathematics, Jadavpur University, Kolkata. Dr. Roy has a number of publications in reputed International Journals indexed by Scopus and SCI such as Annals of Operations Research, Fuzziness and Knowledge-Based Systems, Economic Research – Ekonomska Istrazivanja, Expert Systems, Sustainability, and Symmetry. His research interests include MCDM, MODM, Portfolio Optimization, Fuzzy set theory, Rough set theory, and Uncertainty theory.

Prof. Sanjib BiswasSanjib Biswas is presently serving as an Assistant Professor (Area: Decision Sciences, Operations Management and Information Systems) at Calcutta Business School, West Bengal, India. He has published and presented research articles in national and international journals and conferences of repute both in India and abroad. He is a member of the Association for Computing Machinery (ACM), Operational Research Society of India (ORSI), Analytics Society of India (ASI), Indian Institute of Materials Management (IIMM), Computer Society of India (CSI), International Society on Multi-Criteria Decision Making (MCDM) and Quality Circle Forum of India (QCFI). He is also a member of the editorial board and reviewer of several International and National Journals of repute such as International Journal of Business and Emerging

Markets (Inderscience, Scopus), International Journal of Business & Applied Sciences (IJBAS), Journal of Management and Sustainability, Global Journal of Management and Business Research to name a few. Prior to joining in academics he has worked 9 years in Industry. His research interests include Multi-Criteria Decision Making models and their applications in managerial decision making, Supply Chain Management, Lean Manufacturing, and Total Quality Management.

RESOURCE PERSONS

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Calcutta Business School (CBS) is an autonomous institute offering AICTE approved 2-year full-time Post-Graduate Diploma in Management (PGDM) and other Management Development Programs (MDP). Founded by the Shikshayatan Foundation, CBS is governed by a board consisting of eminent industrialists and former Directors of IIMs with Mr. SK Birla as the Chairman. The B-School, modeled on the top ranking business schools of the country, is located in a sprawling 15 acre residential, eco-friendly and smart campus on the outskirt of Kolkata. Its objective is to provide an environment that is academically thought-provoking as well as made enjoyable by a variety of avenues provided to students for self-expression and development.

Prof. Sanjib BiswasAssistant Professor, Calcutta Business SchoolM: +91-9051519095Email: [email protected]

ABOUT CALCUTTA BUSINESS SCHOOL

COURSE COORDINATOR

Two week certificate course On

“Multi-Criteria Decision Making (MCDM) Techniques and Applications”

(August 24, 2020 to September 04, 2020)

1. Name of the Participant:

2. Role (Please tick any one): Faculty Member / Research Scholar /Student/ Practitioners

3. University/Institution:

4. Department/Specialization/Area:

5. Contact details Email ID: Phone number:

6. Transaction Details Reference Number: Date: Bank name : Amount paid: Payment made by: (If anyone on behalf of the participant paid the amount)

Mode of payment:

Declaration:I understand that e-certificate for the course shall be provided on successful completion of the course upon fulfillment of the requirements and registration fee payment confirmation by Calcutta Business School.

Note 1. The certificate will be issued as per the information provided here.2. The fee paid for attending the course is non-refundable.

Course Registration Form(To be filled up by each participant)

“MULTI-CRITERIA DECISION MAKING (MCDM) TECHNIQUES AND ...

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