Quantum computing and supply chain management: a new era of optimization
"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 e...
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "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."-- |
| Beschreibung: | 32 PDFs (519 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369341087 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Quantum computing and supply chain management |b a new era of optimization |c Ahdi Hassan, Pronaya Bhattacharya, Pushan Kumar Dutta, Jai Prakash Verma, Neel Kanth Kundu, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 32 PDFs (519 Seiten) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Quantum computing for supply chain optimization -- Chapter 2. Predicting demand in supply chain networks with quantum machine learning approach -- Chapter 3. AI-infused quantum machine learning for enhanced supply chain forecasting -- Chapter 4. Theoretical overview of quantum machine learning applications in enhancing demand forecasting for supply chain management -- Chapter 5. Exploring quantum cognition: linking algebraic structures to cognitive phenomena -- Chapter 6. Quantum-inspired data-driven decision making for supply chain logistics -- Chapter 7. Quantum computing in inventory management and dynamic allocation -- Chapter 8. Quantum computing applications in real-time route optimization for supply chains -- Chapter 9. AI-driven inventory management for optimizing operations with quantum computing -- Chapter 10. Enhancing predictive maintenance in supply chain systems with deep learning strategies -- Chapter 11. Advanced analytics and quantum computing for revolutionizing procurement strategies -- Chapter 12. Quantum computing for real-time decision making in supply chain operations -- Chapter 13. Quantum approaches to sustainable resource management in supply chains -- Chapter 14. Boosting quantum computing to redefine supply chain in the hospital industry: pitch the vision for medical and healthcare needs -- Chapter 15. Quantum computing in supply chain management and the revolution in demand forecasting for coal resources -- Chapter 16. Optimizing supply chain efficiency and transparency through quantum computing technologies -- Chapter 17. Quantum leap: revolutionizing supply chain transparency -- Chapter 18. Integrating AI and quantum technologies for sustainable supply chain management -- Chapter 19. Quantum ethics: ensuring integrity and security in supply chain operations -- Chapter 20. Navigating the complexities of agile transformations in large organizations -- Chapter 21. Cultivating high-performance agile teams: strategies for assembling and empowering effective groups -- Chapter 22. Unlocking the quantum advantage: practical applications and case studies in supply chain optimization -- Chapter 23. Quantum-inspired genetic algorithm for workforce scheduling in supply chain and logistics operations: a lightweight quantum-inspired genetic algorithm -- Chapter 24. Uncapping the potential of quantum computing towards manufacturing optimization: routing supply chain projecting sustainability -- Chapter 25. Integrating quantum computing with agile software practices for enhanced supply chain optimization. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "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."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/12/2024). | ||
| 650 | 0 | |a Quantum computing. | |
| 650 | 0 | |a Supply chain management |x Data processing. | |
| 650 | 0 | |a Supply chain management |x Technological innovations. | |
| 653 | |a Advanced Logistics Planning. | ||
| 653 | |a Bridging Classical and Quantum Supply Chain Strategies. | ||
| 653 | |a Case Studies. | ||
| 653 | |a Complex Transport Planning. | ||
| 653 | |a Ethical and Security Considerations. | ||
| 653 | |a Integrating Quantum Computing in Supply Chain Analytics. | ||
| 653 | |a Internet of Things (IoT). | ||
| 653 | |a Inventory Management. | ||
| 653 | |a Manufacturing. | ||
| 653 | |a Quantum Algorithms for Logistics Optimization. | ||
| 653 | |a Retail and Distribution. | ||
| 653 | |a Supply Chain Risk Management. | ||
| 653 | |a Supply Chain Transparency. | ||
| 653 | |a Sustainable Resource Management. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Bhattacharya, Pronaya |e editor. | |
| 700 | 1 | |a Dutta, Pushan Kumar |e editor. | |
| 700 | 1 | |a Hassan, Ahdi |e editor. | |
| 700 | 1 | |a Kundu, Neel Kanth |e editor. | |
| 700 | 1 | |a Verma, Jai Prakash |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| contents | Chapter 1. Quantum computing for supply chain optimization -- Chapter 2. Predicting demand in supply chain networks with quantum machine learning approach -- Chapter 3. AI-infused quantum machine learning for enhanced supply chain forecasting -- Chapter 4. Theoretical overview of quantum machine learning applications in enhancing demand forecasting for supply chain management -- Chapter 5. Exploring quantum cognition: linking algebraic structures to cognitive phenomena -- Chapter 6. Quantum-inspired data-driven decision making for supply chain logistics -- Chapter 7. Quantum computing in inventory management and dynamic allocation -- Chapter 8. Quantum computing applications in real-time route optimization for supply chains -- Chapter 9. AI-driven inventory management for optimizing operations with quantum computing -- Chapter 10. Enhancing predictive maintenance in supply chain systems with deep learning strategies -- Chapter 11. Advanced analytics and quantum computing for revolutionizing procurement strategies -- Chapter 12. Quantum computing for real-time decision making in supply chain operations -- Chapter 13. Quantum approaches to sustainable resource management in supply chains -- Chapter 14. Boosting quantum computing to redefine supply chain in the hospital industry: pitch the vision for medical and healthcare needs -- Chapter 15. Quantum computing in supply chain management and the revolution in demand forecasting for coal resources -- Chapter 16. Optimizing supply chain efficiency and transparency through quantum computing technologies -- Chapter 17. Quantum leap: revolutionizing supply chain transparency -- Chapter 18. Integrating AI and quantum technologies for sustainable supply chain management -- Chapter 19. Quantum ethics: ensuring integrity and security in supply chain operations -- Chapter 20. Navigating the complexities of agile transformations in large organizations -- Chapter 21. Cultivating high-performance agile teams: strategies for assembling and empowering effective groups -- Chapter 22. Unlocking the quantum advantage: practical applications and case studies in supply chain optimization -- Chapter 23. Quantum-inspired genetic algorithm for workforce scheduling in supply chain and logistics operations: a lightweight quantum-inspired genetic algorithm -- Chapter 24. Uncapping the potential of quantum computing towards manufacturing optimization: routing supply chain projecting sustainability -- Chapter 25. Integrating quantum computing with agile software practices for enhanced supply chain optimization. |
| ctrlnum | (CaBNVSL)slc00006606 (OCoLC)1452677623 |
| dewey-full | 658.500285 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.500285 |
| dewey-search | 658.500285 |
| dewey-sort | 3658.500285 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
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| id | ZDB-98-IGB-00338306 |
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| spelling | Quantum computing and supply chain management a new era of optimization Ahdi Hassan, Pronaya Bhattacharya, Pushan Kumar Dutta, Jai Prakash Verma, Neel Kanth Kundu, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 32 PDFs (519 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Quantum computing for supply chain optimization -- Chapter 2. Predicting demand in supply chain networks with quantum machine learning approach -- Chapter 3. AI-infused quantum machine learning for enhanced supply chain forecasting -- Chapter 4. Theoretical overview of quantum machine learning applications in enhancing demand forecasting for supply chain management -- Chapter 5. Exploring quantum cognition: linking algebraic structures to cognitive phenomena -- Chapter 6. Quantum-inspired data-driven decision making for supply chain logistics -- Chapter 7. Quantum computing in inventory management and dynamic allocation -- Chapter 8. Quantum computing applications in real-time route optimization for supply chains -- Chapter 9. AI-driven inventory management for optimizing operations with quantum computing -- Chapter 10. Enhancing predictive maintenance in supply chain systems with deep learning strategies -- Chapter 11. Advanced analytics and quantum computing for revolutionizing procurement strategies -- Chapter 12. Quantum computing for real-time decision making in supply chain operations -- Chapter 13. Quantum approaches to sustainable resource management in supply chains -- Chapter 14. Boosting quantum computing to redefine supply chain in the hospital industry: pitch the vision for medical and healthcare needs -- Chapter 15. Quantum computing in supply chain management and the revolution in demand forecasting for coal resources -- Chapter 16. Optimizing supply chain efficiency and transparency through quantum computing technologies -- Chapter 17. Quantum leap: revolutionizing supply chain transparency -- Chapter 18. Integrating AI and quantum technologies for sustainable supply chain management -- Chapter 19. Quantum ethics: ensuring integrity and security in supply chain operations -- Chapter 20. Navigating the complexities of agile transformations in large organizations -- Chapter 21. Cultivating high-performance agile teams: strategies for assembling and empowering effective groups -- Chapter 22. Unlocking the quantum advantage: practical applications and case studies in supply chain optimization -- Chapter 23. Quantum-inspired genetic algorithm for workforce scheduling in supply chain and logistics operations: a lightweight quantum-inspired genetic algorithm -- Chapter 24. Uncapping the potential of quantum computing towards manufacturing optimization: routing supply chain projecting sustainability -- Chapter 25. Integrating quantum computing with agile software practices for enhanced supply chain optimization. Restricted to subscribers or individual electronic text purchasers. "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."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/12/2024). Quantum computing. Supply chain management Data processing. Supply chain management Technological innovations. Advanced Logistics Planning. Bridging Classical and Quantum Supply Chain Strategies. Case Studies. Complex Transport Planning. Ethical and Security Considerations. Integrating Quantum Computing in Supply Chain Analytics. Internet of Things (IoT). Inventory Management. Manufacturing. Quantum Algorithms for Logistics Optimization. Retail and Distribution. Supply Chain Risk Management. Supply Chain Transparency. Sustainable Resource Management. Electronic books. Bhattacharya, Pronaya editor. Dutta, Pushan Kumar editor. Hassan, Ahdi editor. Kundu, Neel Kanth editor. Verma, Jai Prakash editor. IGI Global, publisher. Print version: 9798369341070 |
| spellingShingle | Quantum computing and supply chain management a new era of optimization Chapter 1. Quantum computing for supply chain optimization -- Chapter 2. Predicting demand in supply chain networks with quantum machine learning approach -- Chapter 3. AI-infused quantum machine learning for enhanced supply chain forecasting -- Chapter 4. Theoretical overview of quantum machine learning applications in enhancing demand forecasting for supply chain management -- Chapter 5. Exploring quantum cognition: linking algebraic structures to cognitive phenomena -- Chapter 6. Quantum-inspired data-driven decision making for supply chain logistics -- Chapter 7. Quantum computing in inventory management and dynamic allocation -- Chapter 8. Quantum computing applications in real-time route optimization for supply chains -- Chapter 9. AI-driven inventory management for optimizing operations with quantum computing -- Chapter 10. Enhancing predictive maintenance in supply chain systems with deep learning strategies -- Chapter 11. Advanced analytics and quantum computing for revolutionizing procurement strategies -- Chapter 12. Quantum computing for real-time decision making in supply chain operations -- Chapter 13. Quantum approaches to sustainable resource management in supply chains -- Chapter 14. Boosting quantum computing to redefine supply chain in the hospital industry: pitch the vision for medical and healthcare needs -- Chapter 15. Quantum computing in supply chain management and the revolution in demand forecasting for coal resources -- Chapter 16. Optimizing supply chain efficiency and transparency through quantum computing technologies -- Chapter 17. Quantum leap: revolutionizing supply chain transparency -- Chapter 18. Integrating AI and quantum technologies for sustainable supply chain management -- Chapter 19. Quantum ethics: ensuring integrity and security in supply chain operations -- Chapter 20. Navigating the complexities of agile transformations in large organizations -- Chapter 21. Cultivating high-performance agile teams: strategies for assembling and empowering effective groups -- Chapter 22. Unlocking the quantum advantage: practical applications and case studies in supply chain optimization -- Chapter 23. Quantum-inspired genetic algorithm for workforce scheduling in supply chain and logistics operations: a lightweight quantum-inspired genetic algorithm -- Chapter 24. Uncapping the potential of quantum computing towards manufacturing optimization: routing supply chain projecting sustainability -- Chapter 25. Integrating quantum computing with agile software practices for enhanced supply chain optimization. Quantum computing. Supply chain management Data processing. Supply chain management Technological innovations. |
| title | Quantum computing and supply chain management a new era of optimization |
| title_auth | Quantum computing and supply chain management a new era of optimization |
| title_exact_search | Quantum computing and supply chain management a new era of optimization |
| title_full | Quantum computing and supply chain management a new era of optimization Ahdi Hassan, Pronaya Bhattacharya, Pushan Kumar Dutta, Jai Prakash Verma, Neel Kanth Kundu, editors. |
| title_fullStr | Quantum computing and supply chain management a new era of optimization Ahdi Hassan, Pronaya Bhattacharya, Pushan Kumar Dutta, Jai Prakash Verma, Neel Kanth Kundu, editors. |
| title_full_unstemmed | Quantum computing and supply chain management a new era of optimization Ahdi Hassan, Pronaya Bhattacharya, Pushan Kumar Dutta, Jai Prakash Verma, Neel Kanth Kundu, editors. |
| title_short | Quantum computing and supply chain management |
| title_sort | quantum computing and supply chain management a new era of optimization |
| title_sub | a new era of optimization |
| topic | Quantum computing. Supply chain management Data processing. Supply chain management Technological innovations. |
| topic_facet | Quantum computing. Supply chain management Data processing. Supply chain management Technological innovations. Electronic books. |
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