1st Edition

Decision-Making Models and Applications in Manufacturing Environments

528 Pages 16 Color & 112 B/W Illustrations
by Apple Academic Press

528 Pages 16 Color & 112 B/W Illustrations
by Apple Academic Press

Multi-criteria decision-making (MCDM) has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.This new volume applies the MCDM theory to solving problems and challenges in manufacturing environments. It discusses using MCDM computational methods to evaluate and select the most optimal solution or method for real-world, real-time... Read more

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 AI in the Manufacturing and Industrial Sectors During 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 Supplier 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

Biography

Pushpdant Jain, PhD, is an Assistant Professor in the School of Mechanical Engineering at VIT Bhopal University, India. Prior to academia, he served in industry for six years. He has published research papers in international peer-reviewed journals and has published several book chapters. Dr. Jain has participated in international conferences, is an active member of the European Society of Bio-Mechanics and life member of the International Association of Engineers, Indian Institution of Industrial Engineering, and Indian Society for Technical Education. He was named Research Scholar of the Year (2018) by NIT Rourkela for his PhD work.

Kumar Abhishek, PhD, is an Assistant Professor in the Mechanical and Aero-Space Engineering Department at the National Institute of Infrastructure, Technology, Research and Management, 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.

Prasenjit Chatterjee, PhD, is 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. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing as well as a series editor for several book series. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: 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).