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Full Description
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.
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
