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Preface xliii Part I: Overview of Smart Manufacturing 1 1 Introduction to Smart and Sustainable Manufacturing 3 2 Implementing Smart Manufacturing Across an Industrial Organization 39 3 Generic Design Methodology for Smart Manufacturing Systems 67 4 Hardware and Software in Smart Manufacturing 93 5 A Systems Engineering–Driven Decomposition Approach for Large-Scale Industrial Decision-Making Processes 115 6 Smart Maintenance Factory: An Innovative Approach Toward Redefining Industrial Efficiency 133 7 Model-Predictive Safety: A New Paradigm for Functional Safety in Sustainable Smart Manufacturing 151 8 Leveraging Lean Six Sigma 4.0 for Advancing Gender Equality: A Comprehensive Analysis 189 Part II: General Applications in Smart Manufacturing 219 9 Optimization of Material Supply in Smart Manufacturing Environment 221 10 Empowering Digital Twin Collaboration in Manufacturing with Blockchain Technology 233 11 Smart Green Supply Chain Management 253 12 Smart Production Planning and Control 269 13 Role of Smart Manufacturing Systems in Improving Electric Vehicle Production 287 14 Smart Manufacturing Using 4D Printing 307 15 Smart Biomaterials in Industry and Healthcare 333 16 Integration of Circular Supply Chain and Industry 4.0 to Enhance Smart Manufacturing Adoption 351 17 Sustainable Smart Manufacturing Processes in Industry 4.0 369 18 Overview of Smart Manufacturing in Medical Field 397 19 Chemical Properties of Electric Vehicle Batteries: A Comprehensive Review 419 20 Revolutionizing Defense Operations through Collaborative Technologies in Industry 5.0 441 Part III: Computing Applications in Smart Manufacturing 459 21 Cloud Manufacturing Implementation for Smart Manufacturing Networks 461 22 AI-Augmented Cloud Manufacturing Cells for Autonomous Production Reconfiguration 481 23 Leveraging Industrial Artificial Intelligence and Predictive Analytics for Smart Manufacturing 499 24 Computational Framework for Smart Manufacturing Via Parametric Optimization and Control for Powder Mixed Electrical Discharge Machining 519 25 Evaluating Internet-of-Things–Aided Simulation Accuracy in Cyber-Physical Manufacturing: A Comparative Study of Static and Real-Time Models 535 26 Artificial Intelligence for Smart Manufacturing 551 27 Overview of Recent Advances in Cybersecurity in Smart Manufacturing Industry 591 28 Advanced Soft Sensors and Inferential Modeling for Sustainable Manufacturing Systems 607 29 Smart Manufacturing Empowered by Digital Twin: Concept & Applications 629 30 Applications of Augmented and Virtual Reality in Contemporary Manufacturing Organizations 651 31 Customized Manufacturing in the Age of Artificial Intelligence: From Smart Factories to Empirical Validation 673 Part IV: Sustainable Manufacturing 703 32 Sustainable Smart Manufacturing 705 33 Zero-Waste Manufacturing and Cleaner Production: Sustainable Approach by Additive Manufacturing 717 34 Sustainability in Manufacturing Industries: Emergence in Industry 4.0 731 35 Additive Manufacturing with Recycled Plastics: Driving Circular Economy Solutions 747 36 Current Scenario of Smart Approaches to Zero-Waste Manufacturing 769 37 Environmentally Responsible Product Design: Factor Prioritization Model Using Analytic Hierarchy Process 799 38 Matrix-Based Composites for Sustainable Manufacturing of Smart Structures 831 39 Sustainable Hybrid-Reinforced Metal Matrix Composites: An Overview 847 40 Sustainable Innovations in Nanofiber Fabrication: Exploring the Latest Trends 869 41 Plastic Recycling and Regeneration in Sustainable Smart Manufacturing 905 42 Overview of Sustainable Supply Chain Management in Manufacturing Industries 917 43 Prioritizing Sustainable Design Practices for Electric Vehicle Using Analytic Hierarchy Process 943 44 Enhancing Sustainability in Machining Using Cryogenic Cooling Strategies 975 45 Emerging Building Materials for Sustainable Construction 999 46 Cutting-Edge Innovations and Strategies for Sustainable Manufacturing 1011 47 Artificial Intelligence for Smart and Sustainable Manufacturing 1025 48 Smart and Sustainable Manufacturing in Friction Stir Welding 1049 References 1060 |
Sandip Kunar, PhD is an Assistant Professor in the Department of Mechanical Engineering at the Aditya Engineering College, Andhra Pradesh, India. He has published more than 28 research papers in various reputed international journals, more than 24 research papers in national and international conference proceedings, 35 book chapters, and 13 books. He has also published two patents and been granted an additional two. His research interests include non-conventional machining processes, micromachining processes, advanced manufacturing technology, and industrial engineering.
Gurudas Mandal, PhD is an Assistant Professor in the Department of Metallurgical Engineering, Kazi Nazrul University, West Bengal, India. He has published 20 technical research papers in reputed international journals, eight papers in conference proceedings, and nine book chapters. His research interests focus on alloy steel and cast iron, composite materials, magnetic materials, hydrogen energy, and archaeometallurgy.
Preeti Singh Bahadur, PhD is an Associate Professor in the Applied Science Department, Amity University, Greater Noida, India, with more than 21 years of experience. She has published more than 90 research articles in various journals of repute and several book chapters, and has also presented more than 25 research papers in various national and international and conferences. Her current areas of interest include matter physics, lasers, optics, optoelectronics, and sustainable and green manufacturing.
S. Rama Sree, PhD is a Professor in the Computer Science and Engineering Department and Pro Vice-Chancellor of Academics, Aditya University, Andhra Pradesh, India. Her publications include 35 papers in international journals, 15 papers in national and international conferences, one co-authored book, and four patents. Her research interests include software cost estimation, software reusability, software reliability, software defect prediction, software maintenance, soft computing, applications of machine learning techniques, medical diagnosis, and cloud computing.
M. Sreenivasa Reddy, PhD is the Director of the Aditya Group of Educational Institutions and the Deputy Pro-Chancellor of Aditya University, Andhra Pradesh, India. He has published more than 40 research papers in various reputed international journals, national and international conference proceedings, ten book chapters, and two books. His research interests include non-conventional machining processes and manufacturing technology.