Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management

Pushan Kumar Dutta, Pronaya Bhattacharya, Jai Prakash Verma, Ashok Chopra, Neel Kanth Kundu, Khursheed Aurangzeb

• Publisher: Chapman and Hall/CRC
• Year: 2025
• eBook ISBN: 9781040365328
• Topic: Business
• Subtopic: Operations
• Index: Business

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

Table of contents

• Cover
• Half-Title
• Series
• Title
• Copyright
• Contents
• Preface
• Editors
• Contributors
• 1 Artificial intelligence in supply chain management
• 2 3D object classification in digital supply chains
• 3 AI-enhanced forensics in smart logistics
• 4 Quantum machine learning for predictive analytics in consumer electronics
• 5 Optimizing customer value through hybrid supply chain strategies: A comprehensive exploration of lean, agile approaches
• 6 Quantum advancements in logistics: Transforming operations through integrated quantum computing
• 7 Exploring the use of quantum algorithms for logistics optimization
• 8 Quantum computing in risk management and supply chain resilience
• 9 Quantum-driven real-time object detection systems
• 10 Quantum-enhanced feature extraction for smart logistics and transportation systems
• 11 Vehicle load optimization in smart logistics
• 12 Quantum-enhanced customer retention: Leveraging predictive analytics for optimized supply chain strategies
• 13 Industry 4.0 and supply chain sustainability: Insights from case studies
• 14 Quantifying the digital frontier: Frameworks and challenges in measuring the digital economy
• 15 Quantum computing and personalized digital marketing: Pioneering the future of hyper-personalized customer engagement
• 16 Quantum leap in quick commerce: Harnessing quantum computing for sustainable and efficient logistics
• 17 Innovative approaches to secure communication for smart logistics
• 18 Energy harvesting for IoT in logistics
• 19 Mathematics and statistics in quantum computing: Advancing cybersecurity for modern supply chains
• 20 Quantum-blockchain scheme in fraud detection and risk management resilience
• 21 Sustainable farming systems in smart logistics
• 22 Characterization and prediction of coating thickness on mild steel plate using quantum fuzzy inference system
• 23 How quantum computing powers the future of artificial intelligence
• Index