This book introduces the step-by-step processes involved in using MCDM methods, starting from problem formulation, model development, and criteria weighting to the final ranking of the alternatives. The authors explain the different MCDM methods that can be used in specific manufacturing environments. The book explains the 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 explanations of 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 here will aid readers in applying cutting-edge MCDM methods to their own manufacturing projects. As both a research and teaching tool, this book encourages critical and logical thinking when applying MCDM methods for solving complex manufacturing decision-making problems.
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. He 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. His research interest includes multi-criteria decision-making, operations research, and soft computing techniques.
Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He is a prolific author and editor on the topics of intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards for his work. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing and is the Series Editor of the several book series. He 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, is Assistant Professor in the Department of Mechanical Engineering of Sikkim Manipal Institute of Technology, Sikkim Manipal University, India. He has published many research papers in international journals. He is also 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.
