Utilization of AI technology in supply chain management:
"The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent sup...
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: | "The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management.Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively."-- |
| Beschreibung: | 26 PDFs (336 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369335949 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Utilization of AI technology in supply chain management |c Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Prabjot Kaur, Digvijay Pandey, editors. |
| 246 | 3 | |a Utilization of artificial intelligence technology in supply chain management | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 26 PDFs (336 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. From theory to practice: the evolution of artificial intelligence in business -- Chapter 2. Navigating the transformative journey: ai's progression in business applications -- Chapter 3. The role of artificial intelligence in supply chain management -- Chapter 4. Embracing artificial intelligence in supply chain management -- Chapter 5. The effects of artificial intelligence on supply chain management -- Chapter 6. From automation to optimization: exploring the effects of Al on supply chain management -- Chapter 7. Revolutionizing supply chain management: a comprehensive review of AI and machine learning impacts -- Chapter 8. Revolutionizing supply chain with machine learning and blockchain integration -- Chapter 9. Particle swarm intelligence: a novel approach to optimizing supply chain network design -- Chapter 10. Computational biology meets swarm intelligence: implications for supply chain management -- Chapter 11. Leveraging cutting-edge technologies and innovative strategies to optimize the IoT and AI integration in supply chain management -- Chapter 12. Intelligent systems for industrial robots in logistics and supply chain applications -- Chapter 13. Oligopolistic markets employing an intelligent physarum solution for supply chain networks -- Chapter 14. The financial dynamics of AI-enhanced supply chain management: trends and insights -- Chapter 15. Maximizing profits and efficiency: the intersection of AI, machine learning, and supply chain financial management -- Chapter 16. Utilizing machine learning in legal management to enhance supply chain -- Chapter 17. An exploratory research for HRD transformation leadership through crisis supply chain management during the pandemic -- Chapter 18. Gaining new insights into consumer behavior through operations management in supply chains -- Chapter 19. New insights into strategic consumer behavior from the field of operations management. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management.Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively."-- |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 03/01/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Business logistics. | |
| 650 | 0 | |a Internet of things. | |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Automation. | ||
| 653 | |a Bargaining Model. | ||
| 653 | |a Computational Biology. | ||
| 653 | |a Fuzzy Bayesian Approach. | ||
| 653 | |a Industry 6.0. | ||
| 653 | |a Intelligent Systems. | ||
| 653 | |a Location-based Decision Support. | ||
| 653 | |a Logistical Applications. | ||
| 653 | |a Multiagent Systems. | ||
| 653 | |a Oligopolistic Markets. | ||
| 653 | |a Operations Management. | ||
| 653 | |a Particle Swarm Intelligence (PSO). | ||
| 653 | |a Supply Chain Improvement. | ||
| 653 | |a Swarm Intelligence. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a George, A. Shaji |d 1971- |e editor. | |
| 700 | 1 | |a Kanike, Uday Kumar |e editor. | |
| 700 | 1 | |a Kaur, Prabjot |d 1974- |e editor. | |
| 700 | 1 | |a Pandey, Binay Kumar |e editor. | |
| 700 | 1 | |a Pandey, Digvijay |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369335932 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3593-2 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3593-2 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00336476 |
|---|---|
| _version_ | 1826942603303583744 |
| adam_text | |
| any_adam_object | |
| author2 | George, A. Shaji 1971- Kanike, Uday Kumar Kaur, Prabjot 1974- Pandey, Binay Kumar Pandey, Digvijay |
| author2_role | edt edt edt edt edt |
| author2_variant | a s g as asg u k k uk ukk p k pk b k p bk bkp d p dp |
| author_facet | George, A. Shaji 1971- Kanike, Uday Kumar Kaur, Prabjot 1974- Pandey, Binay Kumar Pandey, Digvijay |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HD38 |
| callnumber-raw | HD38.5 .U85 2024e |
| callnumber-search | HD38.5 .U85 2024e |
| callnumber-sort | HD 238.5 U85 42024E |
| callnumber-subject | HD - Industries, Land Use, Labor |
| collection | ZDB-98-IGB |
| contents | Chapter 1. From theory to practice: the evolution of artificial intelligence in business -- Chapter 2. Navigating the transformative journey: ai's progression in business applications -- Chapter 3. The role of artificial intelligence in supply chain management -- Chapter 4. Embracing artificial intelligence in supply chain management -- Chapter 5. The effects of artificial intelligence on supply chain management -- Chapter 6. From automation to optimization: exploring the effects of Al on supply chain management -- Chapter 7. Revolutionizing supply chain management: a comprehensive review of AI and machine learning impacts -- Chapter 8. Revolutionizing supply chain with machine learning and blockchain integration -- Chapter 9. Particle swarm intelligence: a novel approach to optimizing supply chain network design -- Chapter 10. Computational biology meets swarm intelligence: implications for supply chain management -- Chapter 11. Leveraging cutting-edge technologies and innovative strategies to optimize the IoT and AI integration in supply chain management -- Chapter 12. Intelligent systems for industrial robots in logistics and supply chain applications -- Chapter 13. Oligopolistic markets employing an intelligent physarum solution for supply chain networks -- Chapter 14. The financial dynamics of AI-enhanced supply chain management: trends and insights -- Chapter 15. Maximizing profits and efficiency: the intersection of AI, machine learning, and supply chain financial management -- Chapter 16. Utilizing machine learning in legal management to enhance supply chain -- Chapter 17. An exploratory research for HRD transformation leadership through crisis supply chain management during the pandemic -- Chapter 18. Gaining new insights into consumer behavior through operations management in supply chains -- Chapter 19. New insights into strategic consumer behavior from the field of operations management. |
| ctrlnum | (CaBNVSL)slc00005637 (OCoLC)1427253455 |
| dewey-full | 658.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.8 |
| dewey-search | 658.8 |
| dewey-sort | 3658.8 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00336476 |
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| physical | 26 PDFs (336 Seiten) Also available in print. |
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| spelling | Utilization of AI technology in supply chain management Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Prabjot Kaur, Digvijay Pandey, editors. Utilization of artificial intelligence technology in supply chain management Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 26 PDFs (336 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. From theory to practice: the evolution of artificial intelligence in business -- Chapter 2. Navigating the transformative journey: ai's progression in business applications -- Chapter 3. The role of artificial intelligence in supply chain management -- Chapter 4. Embracing artificial intelligence in supply chain management -- Chapter 5. The effects of artificial intelligence on supply chain management -- Chapter 6. From automation to optimization: exploring the effects of Al on supply chain management -- Chapter 7. Revolutionizing supply chain management: a comprehensive review of AI and machine learning impacts -- Chapter 8. Revolutionizing supply chain with machine learning and blockchain integration -- Chapter 9. Particle swarm intelligence: a novel approach to optimizing supply chain network design -- Chapter 10. Computational biology meets swarm intelligence: implications for supply chain management -- Chapter 11. Leveraging cutting-edge technologies and innovative strategies to optimize the IoT and AI integration in supply chain management -- Chapter 12. Intelligent systems for industrial robots in logistics and supply chain applications -- Chapter 13. Oligopolistic markets employing an intelligent physarum solution for supply chain networks -- Chapter 14. The financial dynamics of AI-enhanced supply chain management: trends and insights -- Chapter 15. Maximizing profits and efficiency: the intersection of AI, machine learning, and supply chain financial management -- Chapter 16. Utilizing machine learning in legal management to enhance supply chain -- Chapter 17. An exploratory research for HRD transformation leadership through crisis supply chain management during the pandemic -- Chapter 18. Gaining new insights into consumer behavior through operations management in supply chains -- Chapter 19. New insights into strategic consumer behavior from the field of operations management. Restricted to subscribers or individual electronic text purchasers. "The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management.Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/01/2024). Artificial intelligence. Business logistics. Internet of things. Artificial Intelligence. Automation. Bargaining Model. Computational Biology. Fuzzy Bayesian Approach. Industry 6.0. Intelligent Systems. Location-based Decision Support. Logistical Applications. Multiagent Systems. Oligopolistic Markets. Operations Management. Particle Swarm Intelligence (PSO). Supply Chain Improvement. Swarm Intelligence. Electronic books. George, A. Shaji 1971- editor. Kanike, Uday Kumar editor. Kaur, Prabjot 1974- editor. Pandey, Binay Kumar editor. Pandey, Digvijay editor. IGI Global, publisher. Print version: 9798369335932 |
| spellingShingle | Utilization of AI technology in supply chain management Chapter 1. From theory to practice: the evolution of artificial intelligence in business -- Chapter 2. Navigating the transformative journey: ai's progression in business applications -- Chapter 3. The role of artificial intelligence in supply chain management -- Chapter 4. Embracing artificial intelligence in supply chain management -- Chapter 5. The effects of artificial intelligence on supply chain management -- Chapter 6. From automation to optimization: exploring the effects of Al on supply chain management -- Chapter 7. Revolutionizing supply chain management: a comprehensive review of AI and machine learning impacts -- Chapter 8. Revolutionizing supply chain with machine learning and blockchain integration -- Chapter 9. Particle swarm intelligence: a novel approach to optimizing supply chain network design -- Chapter 10. Computational biology meets swarm intelligence: implications for supply chain management -- Chapter 11. Leveraging cutting-edge technologies and innovative strategies to optimize the IoT and AI integration in supply chain management -- Chapter 12. Intelligent systems for industrial robots in logistics and supply chain applications -- Chapter 13. Oligopolistic markets employing an intelligent physarum solution for supply chain networks -- Chapter 14. The financial dynamics of AI-enhanced supply chain management: trends and insights -- Chapter 15. Maximizing profits and efficiency: the intersection of AI, machine learning, and supply chain financial management -- Chapter 16. Utilizing machine learning in legal management to enhance supply chain -- Chapter 17. An exploratory research for HRD transformation leadership through crisis supply chain management during the pandemic -- Chapter 18. Gaining new insights into consumer behavior through operations management in supply chains -- Chapter 19. New insights into strategic consumer behavior from the field of operations management. Artificial intelligence. Business logistics. Internet of things. |
| title | Utilization of AI technology in supply chain management |
| title_alt | Utilization of artificial intelligence technology in supply chain management |
| title_auth | Utilization of AI technology in supply chain management |
| title_exact_search | Utilization of AI technology in supply chain management |
| title_full | Utilization of AI technology in supply chain management Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Prabjot Kaur, Digvijay Pandey, editors. |
| title_fullStr | Utilization of AI technology in supply chain management Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Prabjot Kaur, Digvijay Pandey, editors. |
| title_full_unstemmed | Utilization of AI technology in supply chain management Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Prabjot Kaur, Digvijay Pandey, editors. |
| title_short | Utilization of AI technology in supply chain management |
| title_sort | utilization of ai technology in supply chain management |
| topic | Artificial intelligence. Business logistics. Internet of things. |
| topic_facet | Artificial intelligence. Business logistics. Internet of things. Electronic books. |
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