This book presents select proceedings of the International Conference on Recent Advances in Industrial and Systems Engineering (RAISE 2023). It covers the latest research in the areas of industrial and systems engineering, including manufacturing, supply chain digitalization, resilience, and sustainability. Various topics covered in this book are additive manufacturing, artificial intelligence, modeling and simulation, production planning and management, digital manufacturing, and many more. This book is useful for researchers and professionals working in the areas of industrial and production engineering, supply chain management, quality control, and allied fields.
Table of Contents:
Resilient Scheduling Heuristic for Single Machine Systems to Minimize Variance of Job Completion Time.- Modeling Supply Chain Risks in Firecrackers Manufacturing Firms: Implications for Enhancing Productivity.- Evolution of Hybrid Forecast Model for Wire Electro Discharge Machining of Aluminium Alloy with Sustainable Approach.- Perishable Supply Chain Management: A Comprehensive Literature Review and Exploration of Emerging Research Themes.- Analysis and Optimization of Cost and Material Consumption in Additive Manufacturing.- Sustainable Colour Code Texture Generation for Skin and Hair Colouring Through Value Improvement of Herbal Henna.- Implementation of 5S Methodology in the Bike Service Shop.- Efficient VLSI Implementation of Image Denoising using Hybrid Median Filter.- Enhancing Organizational Performance: Leveraging the Synergy Between Industry 4.0 and Lean Six Sigma to Foster Resilient Manufacturing Operations.- Health Monitoring Using Wireless Body Area Networks.- An Approach on Building Communicative Channel for Hand Sign Translation to Text and Speech Model.- The Human-Centric Industry 5.0: Empowering the Workforce for a Sustainable Future.- Determinants of Job Satisfaction among Workers in Manufacturing Plants: An Empirical Study.- Iot Based System for Healthcare of Textile Machines.- Optimization of Energy Consumption and Lead Time using Industry 4.0.
About the Author :
Dr. S. G. Ponnambalam has a Ph.D. degree in Industrial Engineering from Bharathiar University, Coimbatore, India. He is currently holding a Senior Professor position in the School of Mechanical Engineering at VIT University, Vellore-632014, India. He has held academic and administrative positions at various higher learning Institutions in India and abroad, such as PSG College of Technology, Coimbatore, and National Institute of Technology, Trichy, in India, Monash University Malaysia Campus and University Malaysia Pahang in Malaysia. His area of expertise includes manufacturing, optimization, and swarm robotics. He has supervised a number of doctoral students in the area of manufacturing automation and swarm robotics. He is serving as Associate Editor and as Editorial Board Member for many international journals. He has over 300 articles published in various referred journals, refereed conferences, and chapters in edited books.
Dr. Purush Damodaran is Presidential Teaching Professor and Chair of Department of Industrial and Systems Engineering at Northern Illinois University, USA. He earned his Ph.D. in Industrial and Systems Engineering from Texas A&M University, an M.S. in Industrial and Systems Engineering from Northern Illinois University, and a B.E. in Mechanical Engineering from the University of Madras. His research and teaching interests are in the area of large-scale optimization, scheduling, lean, Six Sigma, simulation, logistics, and warehousing. He has received over $6 million in research contracts and grants from companies and federal agencies. He was recognized by the Institute of Industrial Engineers with the 2021 Operational Excellence award for his contributions in teaching and research in the area of continuous/process improvement. He also received the distinguished Presidential Teaching Professorship and prestigious International Educator Award from Northern Illinois University.
Dr. Nachiappan Subramanian (Nachi) has 26 years of experience including 24 years in academia and 2 years in a consulting company. He is Professor of Operations and Logistics Management at the University of Sussex Business School. He is Fellow of Chartered Institute of Logistics and Transport (CILT), UK. He serves as Associate Editor in the following journals: i) International Journal of Physical Distribution and Logistics Management, ii) Socio-Economic Planning Sciences, and iii) International Journal of Logistics Management. He successfully organized several conferences and workshops on digital technology intervention to enhance resilient supply chains in Turkey, Brazil, China, and India. His research on emerging topics has received several hits including the media article on delivery drones published by China Daily and LSE Business Review blog on Social media and successful retail operations in the hyper-customization era.
Dr. J. Paulo Davim is Full Professor at the University of Aveiro, Portugal. He is also distinguished as Honorary Professor in several universities/colleges/institutes in China, India, and Spain. He received his Ph.D. degree in Mechanical Engineering in 1997, M.Sc. degree in Mechanical Engineering (materials and manufacturing processes) in 1991, Mechanical Engineering degree (5 years) in 1986, from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra in 2005, and the D.Sc. (Higher Doctorate) from London Metropolitan University in 2013. He is Senior Chartered Engineer by the Portuguese Institution of Engineers with an MBA and Specialist titles in Engineering and Industrial Management as well as in Metrology. He has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical, and Industrial Engineering, with special emphasis in Machining & Tribology.
