Digital Technology Enabled Circular Economy Models for Environmental and Resource Sustainability Advances in Intelligent Decision-Making, Systems Engineering, and Project Management Series

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.

1. An insight of Digital Technology's Role in the Solar Energy Sector and Its Implications for Sustainable Energy Generation. 2. Green Energy: A Sustainable Approach for Water Desalination using “Solar Still”. 3. Statistical Modelling For Ergonomic Assessment of Lathe Machine Operators: A Sustainable Approach to Assess the Impact of Occupational Health Hazards. 4. An Evaluation of the Impact of Circular Economy (CE) Models Based on AI and IoT for Job Creation and Reallocation. 5. An EOQ Ordering Policy for Items with Varying Deterioration, Exponential Declining Demand and Shortages. 6. Development of Sustainability Indicators for Smart and Connected Digital Manufacturing Systems. 7. Performance Investigations on Robots to attain Environmental Sustainability. 8. Enhancing Thermal Performance of Protective Textiles Through Smart and Sustainable Fabric with Internal Structure Adjustments: Recent Breakthroughs and Developments. 9. Role of Industrial Internet of Things (IIoT) Enabled Smart Warehousing for Sustainable Perishable Food Supply Chains. 10. An Examination of the Impact of Green Marketing Strategies on Consumer Attitudes Towards Environmental Sustainability. 11. A Framework to Evaluate the Influence of Digital Technology and Sustainable Smart Product-Service Systems on Greenhouse Gas Emissions. 12. Enhancement of Sustainability Practices in Logistics through Adoption of Digital Technologies: Application to PNG Context from Global Perspective. 13. Advertising in the Era of Artificial Intelligence (AI)-An Opportunity for Circular Economy. 14. Minimum Quantity Lubrication: An Alternative Sustainable Cooling Technique for Machining Industry.

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, Ori