Productivity Improvement by Upgrading Skills Using Twi – Ji in Special Purpose Machine Manufacturing Company.- Implementing Solar PV System in Dc Microgrid for Electric Vehicle Charging.- Modelling and Analysing the Structural Relationship among Industry 4.0 Dimensions.- Strategic Integration of Lean and Six Sigma in Era of Industry 4.: Navigating the Confluence of Barriers & Enablers.- Enabling a Green Supply Chain with Machine Learning and Industry 4.: Certain Investigations for Research and Applications.- Enhancing Supply Chain Sustainability Through Industry 4.0 And Additive Manufacturing Technologies: A Bibliometric-based Review.- Production Optimization of a PVC Pipe Manufacturing Industry.- Design and Control of Ball and Socket Type Spherical Motor: A Comprehensive Study.- IOT Based Smart Plant Monitoring System.- Limitations of Centralized Version Control Systems (SVN) and Approaches to Its Migration to Decentralized VCS.- Bibliometric Analysis of Green Manufacturing in Automobile Sector.- Building a Greener Supply Chain with Blockchain: A Review and Future Research Directions.- Simultaneous Optimization of Power Consumption and Surface Roughness in Machining Using NSGA-II and Weighted Sum Method.- Solar Powered Dehumidification System with Double Sorbent Wheel.- Productivity Improvement in Refrigerator Manufacturing Plant by Using Yamazumi - Line Balancing Technique.
Dr. Arvind Bhardwaj received his Bachelor in Mechanical Engineering from the Punjab University, India, in 1988 and Ph.D. from the Kurukshetra University, India, in 2006. He is working as Professor in the Department of Industrial and Production Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar (An Institute of National Repute established by Government of India), Punjab, India. He is also looking after the responsibility of Dean Research and Consultancy. He has one years of industrial and more than 27 years of teaching experience. His areas of research are supply chain management, operations management, and optimization of production systems and ergonomics. He has published more than 100 articles in various international journals and conferences.
Prof. Pulak Mohan Pandey is working as Professor in the Department of Mechanical Engineering, Indian Institute of Technology (IIT) Delhi. He is presently on deputation as Director, BIET Jhansi. His area of research includes rapid prototyping, unconventional machining, CAD/CAM, biomedical applications, micromachining, nano-finishing, and finite elements applications to manufacturing. He has guided 40 Ph.D. and 35 master’s dissertations at IIT Delhi. He has published more than 200 hundred research papers in the journals of high repute and also published books and magazines with reputed international publishers. He has also published more than 20 patents in the field of the manufacturing process.
Dr Aviral Misra, is workingas Assistant Professor in the Department of Industrial and Production Engineering, at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar (An Institute of National Repute established by Government of India), Punjab, India. He earned his PhD in Mechanical Engineering from IIT Delhi and completed his M.Tech degree in Production Engineering from IIT-BHU, Varanasi, India. He has more than six years of the teaching experience. His area of research includes, unconventional machining, CAD/CAM, additive manufacturing, micromachining, nano-finishing, finite element method, optimization and application of machine learning. His commitment to academic and research awarded him funded research project from SERB-DST, New Delhi. He has more than 15 research publications in international publications of repute. Dr. Misra is serving as a reviewer in several international journals and a life time member of Institute of Engineers (India) [IEI].
This book presents the select proceedings of International Conference on Production and Industrial Engineering (CPIE) 2023. It covers the current and latest research methods for the modeling and optimization of production and industrial systems. The chapters in the book include the advanced methods of optimization of manufacturing processes and application of data analytics in industrial problems. The book is useful for researchers and professionals working in manufacturing and production engineering, and other allied fields.