Business Management

Frontiers of Mechanical and Industrial Engineering

Multi-Criteria Decision-Making Methods in Manufacturing Environments
Models and Applications

Shankar Chakraborty, PhD
Prasenjit Chatterjee, PhD
Partha Protim Das, PhD

Multi-Criteria Decision-Making Methods in Manufacturing Environments

Published. Available now.
Pub Date: October 2023
Hardback Price: see ordering info
Hard ISBN: 9781774912614
E-Book ISBN: 9781003377030
Pages: 450pp w/ index
Binding Type: Hardback/ e-book
Series: Frontiers of Mechanical and Industrial Engineering
Notes: 17 color and 18 b/w illustrations

Evaluated and Accepted by Scopus for Inclusion

This book introduces the steps of MCDM methods starting from problem formulation, model development, criteria weighting, and alternative scoring and finally to the ranking of the alternatives. The authors go on to explain the step-by-step processes of different MCDM methods for specific manufacturing environments, which allows readers to perceive the presented methodologies in a very clear way. It explains conceptual frameworks of how these methods are applied with special focus on their applicability and usefulness.

The authors begin with an introduction to multi-criteria decision-making, followed by 29 MCDM methods and their applications. The final sections of the book describe helpful normalization techniques and criteria weight measurement techniques.

The collection of diverse range of manufacturing applications and case studies presented in Multi-Criteria Decision-Making Methods in Manufacturing Environments will aid readers in applying cutting-edge MCDM methods to their own manufacturing projects. Intended as both a research and teaching tool, this book creates critical and logical thinking when applying MCDM methods for solving complex manufacturing decision-making problems. The volume will also be valuable for investigators working on real-life manufacturing decision-making problems and solutions in the domains of manufacturing, mechanical, industrial engineering, and related areas.

CONTENTS:
Foreword 1 by Prof. R. Venkata Rao

Foreword 2 by Prof. M. K. Tiwari

Preface

Part I: An introduction to Multi-criteria Decision-Making
1. Introduction

Part II: MCDM Methods and their Applications
2. Analytic Hierarchy Process (AHP)

3. Analytic Network Process (ANP)

4. Weighted Aggregated Sum Product Assessment (WASPAS) Method

5. Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA)

6. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

7. VIekriterijumsko KOmpromisno Rangiranje (VIKOR)

8. ELimination Et Choice Translating REality (ELECTRE)

9. Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE)

10. COmplex PRoportional ASsessment (COPRAS) Method

11. Organization, Rangement Et Synthese De Donnes RElationnelles (ORESTE) Method

12. Operational Competitiveness Rating Analysis (OCRA) Method

13. Additive Ratio ASsessment (ARAS) Method

14. Evaluation Based on Distance from Average Solution (EDAS) Method

15. COmbinative Distance-Based ASsessment (CODAS) Method

16. EVAluation of MIXed Data (EVAMIX) Method

17. Preference Selection Index (PSI) Method

18. TOmada de Decisao Interativa Multicriterio (TODIM) Method

19. Range of Value (ROV) Method

20. Superiority and Inferiority Ranking (SIR) Method

21. Measuring Attractiveness by a Categorical-Based Evaluation TecHnique (MACBETH)

22. Modified Similarity Index Method

23. Multi-Attributive Border Approximation Area Comparison (MABAC) Method

24. Multi-Attributive Real-Ideal Comparative Analysis (MARICA) Method

25. Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) Method

26. COmbined COmpromise SOlution (CoCoSo) Method

27. Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI) Method

28. Simultaneous Evaluation of Criteria and Alternatives (SECA) Method

29. R Method

30. Compromise Ranking of Alternatives from Distance to Ideal Solution (CRADIS) Method

Part III: Normalization in MCDM
31. Normalization Techniques

Part IV: Criteria Weight Measurement Techniques
32. Criteria Weight Measurement Techniques

Index


About the Authors / Editors:
Shankar Chakraborty, PhD
Professor, Department of Production Engineering, Jadavpur University, India

Shankar Chakraborty, PhD, is Professor in the Department of Production Engineering at Jadavpur University, India. He has published more than 200 research papers in international journals and is an Associate Editor of the journal OPSEARCH and is an editorial board member of several journals. He is also a regular reviewer for numerous international and national journals. He has guided 15 PhD and 30 postgraduate theses. His research interest includes multi-criteria decision-making, operations research, and soft computing techniques. He graduated from the University of Calcutta and obtained his postgraduate degree and PhD in Engineering from Jadavpur University.

Prasenjit Chatterjee, PhD
Dean (Research and Consultancy), MCKV Institute of Engineering, West Bengal, India

Prasenjit Chatterjee, PhD, is currently the Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has over 100 research papers published in international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modelling. He has received numerous awards, including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing. He has also been a guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is also the Lead Series Editor of the book series Smart and Intelligent Computing in Engineering; Founder and Lead Series Editor of several book series: Concise Introductions to AI and Data Science; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering; and River Publishers Series in Industrial Manufacturing and Systems Engineering. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods 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).

Partha Protim Das, PhD
Assistant Professor, Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, India

Partha Protim Das, PhD, is Assistant Professor in the Department of Mechanical Engineering of Sikkim Manipal Institute of Technology, Sikkim Manipal University, India. He has published numerous research articles in international journals. He is also serving as a regular reviewer for several national and international journals. His research interests include decision-making, soft computing techniques, optimization, artificial intelligence techniques, machining processes, etc. He received his bachelor’s degree in Mechanical Engineering from Annamalai University and master’s degree in Design and Manufacturing from the National Institute of Technology, Silchar, India. He was awarded with PhD degree in Engineering from Jadavpur University, India.




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