Digital Technology Enabled Circular Economy: Models for Environmental and Resource Sustainability

This book presents cutting-edge findings that draw on the use of AI, the Industrial Internet of Things, Blockchain, and Co-Analytics for the development of Circular Economy (CE) models, to make organizational activities more sustainable. A further goal is the development of Digital Technology (DT) enabled support tools that can be used to further analyze the impact of DT and CE-enabled operational practices used to achieve resource and environmental sustainability.

Digital Technology Enabled Circular Economy: Models for Environmental and Resource Sustainability discusses the integration of digital technology-enabled circular economy models into the manufacturing industries and its advantages for sustainability. It emphasizes the fundamentals and applications, their enactment, as well as integration for the overall organizational development. The book explains the role of digital technologies in food supply chains and multi-life cycle materials for sustainable development and highlights the development of the workforce to facilitate the implementation of smart and advanced technologies. This book presents the development of DT-enabled support tools used to analyze the impact of DT and CE-enabled operational practices on an organization, and efforts to achieve resource and environmental sustainability. Case studies that demonstrate how smart digital technology can help firms improve their long-term performance by embracing circular operation methods are also included.

Students, academicians, researchers, as well as managers, and stakeholders who are interested in smart, sustainable production, and consumption, as well as managers and stakeholders who are interested in ways of implementing them in their organizations, will find this book of interest. It will demonstrate, via the use of real-world case studies, how smart digital technology can help firms improve their long-term performance by embracing circular operating methods.

Dr. Bikash Ranjan Moharana is presently working as a Senior Lecturer in the Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Morobe Province, Papua New Guinea. He received his Ph.D. degree from the Department of Mechanical Engineering at the National Institute of Technology, Rourkela, India in 2018. He obtained his master’s degree from Veer Surendra Sai University of Technology, Burla, Odisha. Dr. Moharana has published more than 25 papers in various peer-reviewed Scopus and SCI-indexed journals, conference proceedings, and book chapters and edited 2 books published by CRC Press/Taylor and Francis Group. His main research interests focus on various fusion welding processes, non-traditional machining, process optimization, and mechanical and metallurgical analysis. He is a fellow member of the Institution of Engineers India, IIW, and IWS.

Dr. Bikash Chandra Behera works as an Assistant Professor at the Department of Mechanical Engineering, C. V. Raman Global University, Bhubaneswar, India. He is currently working in Artificial Intelligence and Machine Learning applications in manufacturing processes. Dr. Behera received his master’s and doctoral degrees from the NIT, Rourkela, India, and the Indian Institute of Technology, Delhi, India, respectively. Throughout his career, he has authored more than 30 articles published in peer-reviewed reputable journals. He has presented articles at globally reputed conferences and has published book chapters, as well. His research interests include Sustainable Machining, Machining Tribology, and Micro Machining.

Dr. Kamalakanta Muduli is presently working as an Associate Professor in the Department of Mechanical Engineering, at the Papua New Guinea University of Technology, Lae, Morobe Province, Papua New Guinea. He is also a Visiting Researcher at the University of Derby, UK. He obtained his Ph.D. from the School of Mechanical Sciences, IIT Bhubaneswar, Orissa, India. Dr. Muduli has over 17 years of academic experience in India and Papua New Guinea. Dr. Muduli is a recipient of the ERASMUS+ KA107 award provided by the European Union and has published 94 papers in peer-reviewed international journals, most of which are indexed in Clarivate Analytics, and Scopus, and listed in ABDC. He has also presented more than 35 papers at National and International Conferences. Dr. Muduli has guest edited 5 Special Issues journals and 10 books published by Springer, CRC Press of Taylor & Francis, MDPI, Wiley-Scrivener, and Apple Academic Press. He also has guided three Ph.D. students and is a fellow of the Institution of Engineers India. He is also a senior member of the Indian Institution of Industrial Engineering and a member of ASME. His current research interest includes Manufacturing, Sustainable supply chain management, and Industry 4.0 applications in operations and supply chain management.