Multi-Attribute Decision-Making in Industrial Engineering

Pranav Charkha, PhD is a Professor in the School of Engineering and Technology at Pimpri Chinchwad University, Pune, Maharashtra, India. He has published more than 40 research papers in international journals, five book chapters, four books, and five copyrights. His research focuses on supply chain management, additive manufacturing, and world-class manufacturing for Industry 4.0. Vijayshri Mahobiya, PhD is the Head of the Mechanical Engineering Department at the Wainganaga College of Engineering and Management, Nagpur, Maharashtra, India. She has authored numerous papers in reputed international journals and holds two patents, showcasing her contributions to practical advancements in the field. Her research focus lies in the application of lean manufacturing principles to optimize testing laboratories. Santosh Jaju, PhD is a Professor in the Department of Mechanical Engineering at the G.H. Raisoni College of Engineering, Nagpur, Maharashtra, India, with more than 22 years of teaching experience. He has to his credit more than 100 research papers published in national and international journals and conferences, one book, and six book chapters. His research focuses on quality cost, service quality, lean manufacturing, productivity improvement techniques, and industrial engineering. Vinit Gupta, PhD is an Associate Professor at P.P. Savani University, Surat, Gujarat, India, with more than 14 years of experience. He has contributed several technical papers to prestigious peer-reviewed journals, published a book and several other book chapters, and is an active consultant to nearby industries. His major research areas include materials and material applications and mechanism design and control. Sandip Kunar, PhD is an Associate Professor in the Department of Mechanical Engineering at Aditya Engineering College, Andhra Pradesh, India. He has published more than 60 research papers in various reputed international journals, national and international conference proceedings, 60 book chapters, 20 books, and five patents. His research interests include non-conventional machining processes, micromachining processes, advanced manufacturing technology, and industrial engineering.

• Preface xiAcknowledgments xv1 Introduction to Multi-Attribute Decision-Making Applications 1Himanshu M. Shukla, Mangesh P. Joshi and Anant A. Deogaonkar1.1 Introduction 21.2 Multi Attribute Decision Making: Key Concepts 41.3 Limitations of Traditional MADM Techniques 51.4 Emerging Trends in MADM 71.5 Integration of MADM in Emerging Application Areas 81.6 AIML Integration in MADM 101.7 Application of MADM in Big Data and Real-Time Analytics 111.8 Hybrid Decision Models through Integration of MADM 121.9 Sustainability and Environmental Impact in MADM 131.10 Human-Centric and Ethical Decision-Making in MADM 141.11 Blockchain and Distributed Ledger Technologies in MADM 161.12 Interdisciplinary Collaboration in MADM 171.13 Conclusion and Future Directions 172 COMPARALT – A Novel Approach for Multi-Criteria Decision Making 21Atul Borade, Sudhanshu Ranjan Singh and Abhijeet K. Digalwar2.1 Introduction 222.2 COMPARALT (Comparing and Ranking the Alternatives) 242.3 Real-World Applications 322.4 Results and Discussion 382.5 Conclusion 443 Multi-Attribute Decision-Making Applications in Optimizing Logistics and Supply Chain Management for Energy Storage Systems Techniques 49Ravikant Nanwatkar, Deepak Watvisave, Pravin Nitnaware and Aparna Bagde3.1 Introduction 503.2 Literature Review 573.3 MADM Techniques for Logistics and Supply Chain 603.4 Application Models and Framework 663.5 Challenges and Limitations 683.6 Future Directions 693.7 Conclusion 714 Enhancing Casting Quality through Machine Learning and Artificial Intelligence: Predicting and Controlling Defects in Sand Castings 75Anjul Rai, Shubhrata Nagpal, Vijayshri Mahobia and Vishal Rajput4.1 Introduction 764.2 Artificial Intelligence and Machine Learning Applications in Sand Casting 774.3 Machine Learning and Artificial Intelligence in Sand Castings for Defect Prediction 784.4 Evaluation of Classification Mode 844.5 Conclusions 855 Developing Analytical Hierarchy Process Framework as Multi Criteria Decision Making Tool for Analysing Green Supply Chain Management Practices 89Prashantkumar Bajaj and Sanjay P. Shekhawat5.1 Introduction 905.2 Literature Review 955.3 Analytic Hierarchy Process 985.4 Conclusion and Future Outlook 1076 Multi-Attribute Decision Making in Human Factors and Ergonomics 111Mangesh Joshi, Himanshu Shukla and Sanjay Nikhade6.1 Introduction 1126.2 Role of MADM in Human Factors and Ergonomics 1146.3 Key Applications of MADM in Ergonomics 1156.4 Potential Challenges of MADM in Ergonomics 1276.5 Conclusion 1287 Measuring Service Quality Using Multi Attribute Decision Making-Case of Healthcare Sector 133Ganesh N. Akhade, R. R. Lakhe, S. B. Jaju and Mangesh Kale7.1 Introduction 1347.2 Review of Literature 1357.3 Research Methodology 1367.4 Result 1417.5 Conclusion 1447.6 Managerial Implications 1448 Development and Implementation of a Quality Cost Management System in Advanced Manufacturing Environments 151Yogesh Joshi, Sanjay Mantri, Pranav Charkha and Santosh Jaju8.1 Introduction 1528.2 COQ Practices in Advanced Manufacturing Environment 1538.3 Methodology Used 1548.4 Development and Implementation of Quality Cost Management System in Industry 1568.5 QCMS Development 1578.6 Rationale of Study 1588.7 Extension of Study Period 1628.8 Data Collection 1628.9 Trend Analysis 1638.10 Conclusion 1669 Application of Analytic Hierarchy Process (AHP) for Identifying Optimal Lean Tools in Testing Laboratories 171Vijayshri Mahobiya, Anjul Rai, Somdatta Karanjekar, Durwesh Jhodkar and Pranav Charkha9.1 Introduction 1729.2 Literature Review 1729.3 Methodology Used 1759.4 Data Collection 1799.5 Result and Conclusion 18910 Identification and Prioritizing the Performance Metrics for Textile Supply Chain: Multi-Attribute Decision Making Approach 195Pranav Charkha, Sarita Charkha, Santosh Jaju and Sandip Kunar10.1 Introduction 19610.2 Brief Review of SCPM System 19810.3 Application of MCDM Technique-Analytical Hierarchy Process 21410.4 For Case Company 21510.5 Implication from Case Studies 21510.6 Conclusion 218Appendix A: Performance Measures Identified in Literature Review and Categorized as Quantitative & Qualitative 222Appendix B: Priority Weights for Sub-Attribute Under Each Perspective with Respect to Three Supply Chain Cyclic Processes in Case Company 22611 Application of Multi-Attribute Decision-Making in Manufacturing Systems 227Ravi Shankar Rai, Alok Kumar and Jonathan Joseph11.1 Introduction 22811.2 Fundamentals of MADM in Manufacturing 23111.3 Classification of MADM Techniques in Manufacturing Systems 23511.4 Applications of MADM in Manufacturing Systems 23811.5 Case Studies and Real-World Applications 24211.6 Challenges and Limitations of MADM in Manufacturing Systems 24611.7 Emerging Trends and Future Directions 24911.8 Conclusion 251References 253Index 259