Quantum Computing for Sustainable Supply Chain Management: Integrating Artificial Intelligence for Eco-Efficient Operations and Strategic Optimization is a relevant, contemporary, and futuristic contribution that discusses, explores, and highlights how emerging paradigms of computation, namely quantum computing, are significantly influencing sustainable supply chain design, planning, and practices. With the growing need to reduce environmentally adverse impacts while remaining efficient, this book fills a crucial divide between quantum computing, intelligence, and sustainable supply chain practices.
The volume looks at how quantum algorithms, quantum-AI hybrid models, and optimization tools can help solve supply chain problems like demand forecasting, inventory management, logistics routing, managing risks, and carbon footprints. The book showcases innovative methods for achieving excellence in business operations through sustainable means by incorporating eco-efficiency ratios with intelligent decision support tools.
To be specific, this book is intended for research scholars, industry experts, policymakers, and graduate students and aims to provide theoretical concepts, toolkits, and case studies related to quantum intelligence applications in creating greener, smarter, and more resilient supply chains. The book will act as a valuable reference material for those interested in leveraging disruption technologies to achieve sustainable operations globally.
Table of Contents:
Chapter 1: Introduction to Sustainable Supply Chain Management and Emerging Technologies. Chapter 2: Foundation of Quantum Computing for Business Applications. Chapter 3: Artificial Intelligence adoption in supply chain management and business model innovation: the case of an Italian marble company. Chapter 4: Quantum-Enhanced Artificial Intelligence Framework for Real-Time Sustainable Supply Chain Optimization: A Conceptual Model for Carbon-Neutral Operations. Chapter 5: Quantum Enhanced Forecasting and Demand Planning. Chapter 6: Towards Green Reverse Logistics and Circularity in Africa: Role Of Disruptive Artificial Intelligence. Chapter 7: Smart Inventory Management and Demand Forecasting. Chapter 8: Eco-Friendly Manufacturing and Production Planning. Chapter 9: Application of Blockchain in Supply Chain Audit: A Sustainable Value Chain Approach. Chapter 10: AI-Enhanced Green Logistics and Transportation. Chapter 11: Digital Twin for a Greener Tomorrow: Sustainable SCM through Simulation. Chapter 12: Quantum AI In Real-Time Supply Chain Decision Making and Control. Chapter 13: Digital Twin and Simulation in Sustainable SCM. Chapter 14: Quantum-Driven Sustainability: AI-Powered Strategies for Eco-Efficient Supply Chain Optimization. Chapter 15: Blockchain for Transparency and Traceability. Chapter 16: Challenges, Limitations, and Ethical Concerns in Quantum-AI Supply Chains. Chapter 17: Future Trends and Roadmap for Quantum-AI in Sustainable Supply Chains
About the Author :
Dr. Jay Kumar Pandey is currently working as an Assistant Professor in the Department EEE at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D in 2022. Dr. Pandey has done his M.Tech with specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Artificial Intelligence, Biomedical Image Processing, Image Processing, IoT, Machine Learning and Solar PV. Dr. Pandey has published 4 edited book in IGI and Apple Academy & CRC Press. He has 14 years of teaching and research experience has published more than 20 research papers in national and international journals /conferences & more than 15 Book Chapters. Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States.
Dr. Samrat Ray is serving as the Dean and Head of International Relations at IIMS, Pune. He has completed his PhD from St. Petersburg, Russia in the field of economics and management at Peter the Great Saint Petersburg Polytechnic University. He has worked under the Russian government in various advanced fields of neuro marketing, sensory marketing, behavioural economics and big data innovations in the top ten Russian research framework laboratories in Moscow. Additionally, he has completed three master's degrees with distinction from premier European and Indian universities in advanced management sciences. He is a prolific author and researcher, having more than 50 Scopus-indexed publications in peer-reviewed journals from reputed publishers like Sage, Elsevier, Frontiers, and Hindawi belonging to the Q1 segment.
Dr. Ray has been the author of six international and national patents on innovation and marketing management from the USA, Australia, India and Canada. He has served as a keynote speaker and conducted management development programs for various Fortune 500 companies in Europe and Dubai. He has also been the author of two books on machine learning and artificial intelligence. He has international experience working with Dubai Education departments to start new courses and training programs and has been involved with the Russian Innovation Network and Russian education forums. Moreover, he has also been involved with incubations at IIM Calcutta for strategy and policy-making for new start-ups and provided consulting for new start-up companies. Currently, he is ranked in the top two percent of global scientists and 47th in Russia in management sciences by the AD science research index for global ranking 2023 for scientists. He has also been the recipient of various honors and prizes globally for his contribution to management sciences.
