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.