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Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience. This book is essential reading for supply chain professionals, researchers, and academics seeking innovative solutions to enhance supply chain efficiency. It provides a comprehensive overview of quantum computing's potential in supply chain management, offering insights into how this groundbreaking technology can address the complexities of modern supply chains. With a focus on practical applications and real-world examples, this book is a valuable resource for anyone looking to stay ahead in the rapidly evolving field of supply chain management.
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Quantum Computing and Supply Chain Management: A New Era of Optimization
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Hardcover. Condizione: new. Hardcover. Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience. This book is essential reading for supply chain professionals, researchers, and academics seeking innovative solutions to enhance supply chain efficiency. It provides a comprehensive overview of quantum computing's potential in supply chain management, offering insights into how this groundbreaking technology can address the complexities of modern supply chains. With a focus on practical applications and real-world examples, this book is a valuable resource for anyone looking to stay ahead in the rapidly evolving field of supply chain management. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computings ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798369341070
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