Mechanical Engineering

AAP Research Notes on Optimization and Decision Making Theories

Decision-Making Models and Applications in Manufacturing Environments
Editors: Pushpdant Jain, PhD
Kumar Abhishek, PhD
Prasenjit Chatterjee, PhD

Decision-Making Models and Applications in Manufacturing Environments

Published. Available now.
Pub Date: February 2024
Hardback Price: see ordering info
Hard ISBN: 9781774913550
E-Book ISBN: 9781003394723
Pages: 528pp w/index
Binding Type: Hardback / eBook
Series: AAP Research Notes on Optimization and Decision Making Theories
Notes: 16 color and 112 b/w illustrations

This new volume applies the multi-criteria decision-making (MCDM) theory to solving problems and challenges in manufacturing environments. In real-time life applications, MCDM has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.

The volume discusses using MCDM computational methods to evaluate and select the most optimal solution or method to real-world manufacturing engineering issues. It details the decision-making process in relation to many manufacturing aspects, including materials selection; identification, assessment, and evaluation of risk; sustainability assessment; selection of green suppliers; and more.

The chapter authors demonstrate the application of myriad MCDM techniques in decision-making, including MADM (multiple attribute decision-making), DEA (data envelopment analysis), fuzzy TOPSIS (technique for order preference by similarities to ideal solution), fuzzy-VIKOR (multicriteria optimization and compromise solution); MOORA (multi-objective optimization on the basis of ratio analysis), EWM (entropy weight method), (AHP) analytic hierarchy process, TODIM (TOmada de Decisao Interativa Multicriterio), and others.

The volume illustrates these MCDM models in several industries and industrial processes, including for experimental analysis and optimization of drilling of glass fiber reinforced plastic, in the textile industries, for selection of refrigerants for domestic applications, and others.

The wide range of topics in Decision-Making Models and Applications in Manufacturing Environments will be valuable for researchers in manufacturing fields who need to use the latest developments and trends in decision-making processes. Professionals as well as faculty and students in manufacturing, industrial, mechanical and production technologies will be able to use, apply, and implement the MCDM models presented in this book.

CONTENTS:
Preface

1. MCDM, DEA, and Their Relationship in Material Selection
Alireza Alinezhad and Javad Khalili

2. Identification, Assessment, and Evaluation of Risk in Various Manufacturing Industries
Rakhi Trivedi, Minakshi Sehrawat, Bhupendra Sharma, and Kuldeep K. Saxena

3. Experimental Analysis and Optimization of Drilling of Glass Fiber Reinforced Plastics Composites Using MADM Methodology: Utility Concept
Suman Chatterjee, Preetam Subudhi, Din Bandhu, Kumar Abhishek, and Siba Sankar Mahapatra

4. Identification of Problems and Their Prioritization in Textile Industries Using MADM Techniques: Fuzzy-TOPSIS and Fuzzy-VIKOR Methods
Jay Vaishnani, Nitin Kumar Laxkar, Din Bandhu, Kumar Abhishek, and Soni Kumari

5. Selection of Refrigerants for Domestic Applications Using MADM Techniques
Abhineet Singh, Abhey Gupta, Din Bandhu, Soni Kumari, Dileep Kumar Gupta, and Kumar Abhishek

6. Comparative Study of MCDM Techniques: TOPSIS, VIKOR, and MOORA Methods Integrated with EWM Method for Vendor Selection in the Manufacturing Industry
Josy George, Sandeep Kumar Tembhare, and Pushpdant Jain

7. Selection of Cutting Fluids for Machining Titanium Alloys Using MCDM Methods
Meet Shah, Yug Modi, Din Bandhu, Soni Kumari, and Kumar Abhishek

8. Decision-Making Framework for Sustainability Assessment of Manufacturing
Brajesh K. Dwivedi and Ashutosh K. Srivastava

9. ARAS-Based Selection of Optimal Specimen Among PRPs and Its Validation Using MVGFD
P. V. Rajesh and M. Sriram Prasanth

10. Optimization of PMEDM Process Parameters for MRR, TWR, RA, and HV Using Taguchi Method and Grey Relational Analysis for Die Steel Materials
Nguyen Huu Phan, Banh Tien Long, and Nguyen Van Thien

11. Selection of Optimal Rapid Prototyping Process Using Multi-Variant MCDM-Based Approaches
Jagadish, Amitava Ray, Surajit Barad, and Shubham B Patil

12. An Investigation into the Effect of Criteria Interaction on the TOmada de Decisao Interativa Multicriterio (TODIM) Method
Divya Zindani, Saikat Ranjan Maity, and Sumit Bhowmik

13. Selection of Air-Conditioning System via a Value Engineering Management Tool
Sunil Kumar Tiwari and Vikas Pagey

14. On the Comparison of MCDM Techniques for the Selection of Polymer-Based Additive Manufacturing Processes
Jairam Raigar, Shekhar Srivastava, Vishal S Sharma, Ramesh Chand, Jaivir Singh, and Rajiv K Garg

15. Strength Analysis of Vibratory Friction Stir Welded AA 2024 and AA 7075 Dissimilar Metals
Gunji Bala Murali, Yogesh Dhakal, and Amey Akshay Acharya

16. Performance Evaluation of Conveyors through Fuzzy AHP-Based Fuzzy Grey Theory Analysis under MCDM Environment
Bipradas Bairagi

17. An Innovative Computational Approach for Processing and Characterization of Polymer Welding
Jinesh Kumar Jain, Rajeev Agrawal, and Pankaj Sonia

18. Performance Analysis of Material Handling Device Using Integrated COPRAS-G and Fuzzy AHP
Bipradas Bairagi

19. Role of IoT, Big Data, and AL in the Manufacturing and Industrial Sectors During the Covid-19 Pandemic: An ISM Approach
Hrishikesh Deka, Sushanta Tripathy, and Deepak Singhal

20. An ISM Approach Among the Key Factors of SCM for Industry 4.0 Towards Sustainability in Indian Manufacturing Sectors
Deobrat Akhouri, Nilabhra Ghosh Dastidar, Sushant Tripathy, Deepak Singhal, and Dhyanadipta Panda

21. Selection of Green Suppliers Using an Integrated Multi-Criteria Optimization Method: With Special Reference to Plastic Extrusion and Vacuum Forming Companies in India
Reema Agarwal, Vipin Tyagi, and Ankur Agrawal

Index


About the Authors / Editors:
Editors: Pushpdant Jain, PhD
Assistant Professor, School of Mechanical Engineering, VIT Bhopal University, India

Pushpdant Jain, PhD, has served in two industries for six years and in various academic institutions for more than three years. Currently he is working with VIT Bhopal University as an Assistant Professor in the School of Mechanical Engineering. He has published several research papers in international peer-reviewed journals and has published several book chapters. Dr. Jain has participated in more than four international conferences. He is an active member of the European Society of Bio-Mechanics (ESB) and life member of the International Association of Engineers (IAENG), Indian Institution of Industrial Engineering (SMIIIE), and Indian Society for Technical Education. He was named Research Scholar of the Year (2018) by NIT Rourkela for his PhD work. To date, he has supervised one MTech student. His research interest includes new product development, healthcare products, spinal implants, biomechanics, and finite element analysis. Dr. Jain holds a PhD in Industrial Design from the National Institute of Technology, Rourkela, Odisha, India. He earned his MTech in Product Design and Engineering and his BE in Mechanical Engineering from the University Institute of Technology, Barkat Ullah University, Bhopal, India.

Kumar Abhishek, PhD
Assistant Professor, Department of Mechanical and Aerospace Engineering, National Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, India

Kumar Abhishek, PhD, is working presently as an Assistant Professor in the Mechanical and Aero-Space Engineering Department at the National Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, India. His area of research mainly focuses on manufacturing and industrial engineering, modeling and optimization of production processes, and composite machining. He has many publications in reputed journals and international conference publications to his credit. He organizes a workshop every consecutive year titled MOOMESA—Multi Objective Optimization Methods for Engineering and Scientific Applications. He has guided BTech, MTech, and PhD students in their programs. He has a lifetime membership in the International Association of Engineers (IAENG) and Indian Society for Non-destructive Testing (ISNT). Dr. Abhishek completed both his doctoral and MTech degrees at the National Institute of Technology (NIT), Rourkela, India.

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

Prasenjit Chatterjee, PhD, is currently 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).




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