Quantum Computing for Sustainable Supply Chain Management

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 ecoefficiency 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.

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 completed his Ph.D in 2022. Dr. Pandey has done his M.Tech with specialization in Power Control (Instrumentation) and MBA in 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 four edited volumes, and serves Journal of Technology Innovations and Energy as Editor. He has 14 years of teaching and research experience, has published more than 20 research papers in national and international journals/conferences, and authored more than 15 Book Chapters.

Dr. Samrat Ray is serving as the Dean and Head of International Relations at IIMS, Pune. He 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 neuromarketing, sensory marketing, behavioral 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 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.