QUANTUM COMPUTING AND ARTIFICIAL INTELLIGENCE IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT (HB 2025). This item is unavailable.QUANTUM COMPUTING AND ARTIFICIAL INTELLIGENCE IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT (HB 2025)

This book discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management. It bridges the gap between these two dynamic fields, offering a comprehensive guide to the application of quantum principles in supply chain operations. Through detailed examples and case studies, it highlights how quantum computing can tackle industry-specific issues, such as managing global supply chain disruptions, enhancing production schedules, and enabling real-time decision-making. This book is for researchers, professionals, and technologists interested in quantum computing and supply chain practices.

Features:

• Provides an in-depth analysis of quantum computing technologies and their capacity to solve complex optimisation problems at scales unimaginable with traditional computing
• Examines the impact of quantum computing on manufacturing and logistics, with a focus on sectors such as automotive and aerospace
• Real-world scenarios illustrate how quantum solutions can streamline operations and drive efficiency
• Explores quantum algorithms and their use in addressing challenges like route optimisation, inventory management, and demand forecasting, offering strategies to reduce costs and improve resilience
• Considers the current limitations, ethical implications, and the path to widespread adoption of quantum computing in supply chains, emphasising the need for interdisciplinary collaboration

Pushan Kumar Dutta is an Assistant Professor at Amity University, Kolkata, India. He holds a Ph.D. and specialises in Electronics and Communication Engineering, AI, and digital transformation. He has edited over 30 books and contributed extensively to research on Industry 4.0/5.0, AI in healthcare, IoMT, quantum computing, and digital manufacturing. As Series Editor for "Sustainable Industrial Engineering Systems," he has published in predictive analytics, edge computing, and data mining, with a focus on smart healthcare and earthquake studies. A recipient of the Venus International Faculty Award (2018), he holds two patents and has been recognised as a “Mentor of Change” by NITI Aayog.

Pronaya Bhattacharya is an Associate Professor in the Computer Science and Engineering Department at Amity School of Engineering and Technology, Amity University, Kolkata, India. He holds a Ph.D. from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India. With over 10 years of academic experience, he has authored more than 140 research papers in SCI journals and IEEE conferences. His research focuses on healthcare analytics, optical switching, federated learning, blockchain, and IoT. Dr Bhattacharya is listed among the top 2% of scientists by Stanford University.

Jai Prakash Verma is an Associate Professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. He holds a Ph.D. from Charusat University, Changa, India. Specialising in Data Mining, Big Data Analytics, and Machine Learning, he has contributed extensively to research through conferences and journal publications. A recognised PhD guide, he currently supervises three PhD scholars and coordinates training programs for Indian Navy officers and ISRO scientists.

Ashok Chopra is the Registrar and Program Chair for Ph.D. at Amity University Dubai and an Associate Professor at Amity Business School, Dubai, UAE. He holds a Ph.D. and has over 25 years of international industry experience as an academician and corporate trainer. Holding significant administrative roles, he has contributed to research through papers, articles, and books. His expertise includes teaching, training, and designing learning environments for diverse educational backgrounds.

Neel Kanth Kundu is an Assistant Professor at the Centre for Applied Research in Electronics, Indian Institute of Technology Delhi, India. He holds a Ph.D. from The Hong Kong University of Science and Technology (HKUST). His research focuses on signal processing for 6G wireless communications, quantum communications, and quantum information processing. He has held postdoctoral positions at HKUST and The University of Melbourne and has received the INSPIRE Young Faculty Fellowship and the Hong Kong Ph.D. Fellowship.

Khursheed Aurangzeb is an Associate Professor in the Department of Computer Engineering at the College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. He holds a Ph.D. in Electronics Design from Mid Sweden University, Sweden. With over 17 years of experience in data analytics, machine learning, and embedded systems, he has authored over 90 publications and led multiple research projects. His research focuses on embedded systems, signal processing, and machine learning applications in smart grids, precision agriculture, and healthcare.