Decision-Making Models and Applications in Manufacturing Environments

ISBN-13: 9781774913550 / Twarda / 2024 / 496 str.

Opis

Applies the multi-criteria decision-making theory to solving problems and challenges in manufacturing environments, using MCDM computational methods to evaluate and select the most optimal solution or method to real-world manufacturing engineering issues.

Spis treści

1. MCDM, DEA, and Their Relationship in Material Selection 2. Identification, Assessment, and Evaluation of Risk in Various Manufacturing Industries 3. Experimental Analysis and Optimization of Drilling of Glass Fiber Reinforced Plastics Composites Using MADM Methodology: Utility Concept 4. Identification of Problems and Their Prioritization in Textile Industries Using MADM Techniques: Fuzzy-TOPSIS and Fuzzy-VIKOR Methods 5. Selection of Refrigerants for Domestic Applications Using MADM Techniques 6. Comparative Study of MCDM Techniques: TOPSIS, VIKOR, and MOORA Methods Integrated with EWM Method for Vendor Selection in the Manufacturing Industry 7. Selection of Cutting Fluids for Machining Titanium Alloys Using MCDM Methods 8. Decision-Making Framework for Sustainability Assessment of Manufacturing 9. ARAS-Based Selection of Optimal Specimen Among PRPs and Its Validation Using MVGFD 10. Optimization of PMEDM Process Parameters for MRR, TWR, RA, and HV Using Taguchi Method and Grey Relational Analysis for Die Steel Materials 11. Selection of Optimal Rapid Prototyping Process Using Multi-Variant MCDM-Based Approaches 12. An Investigation into the Effect of Criteria Interaction on the TOmada de Decisao Interativa Multicriterio (TODIM) Method 13. Selection of Air-Conditioning System via a Value Engineering Management Tool 14. On the Comparison of MCDM Techniques for the Selection of Polymer-Based Additive Manufacturing Processes 15. Strength Analysis of Vibratory Friction Stir Welded AA 2024 and AA 7075 Dissimilar Metals 16. Performance Evaluation of Conveyors through Fuzzy AHP-Based Fuzzy Grey Theory Analysis under MCDM Environment 17. An Innovative Computational Approach for Processing and Characterization of Polymer Welding 18. Performance Analysis of Material Handling Device Using Integrated COPRAS-G and Fuzzy AHP 19. Role of IoT, Big Data, and AL in the Manufacturing and Industrial Sectors During the Covid-19 Pandemic: An ISM Approach 20. An ISM Approach Among the Key Factors of SCM for Industry 4.0 Towards Sustainability in Indian Manufacturing Sectors 21. Selection of Green Suppliers Using an Integrated Multi-Criteria Optimization Method: With Special Reference to Plastic Extrusion and Vacuum Forming Companies in India

O autorze

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, 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, 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).