AI and machine learning impacts in intelligent supply chain:
"Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertain...
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: | Volltext |
| Zusammenfassung: | "Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success.AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs."-- |
| Beschreibung: | 23 PDFs (314 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369313480 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a AI and machine learning impacts in intelligent supply chain |c Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Digvijay Pandey, editors. |
| 246 | 3 | |a Artificial intelligence and machine learning impacts in intelligent supply chain | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 23 PDFs (314 pages) | ||
| 336 | |a text |2 rdacontent | ||
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| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. The digital transformation of supply chain management AI's pioneering role -- Chapter 2. Social psychological obstacles to the implementation of artificial intelligence in supply chain management -- Chapter 3. Integrating machine learning in legal management for intelligent supply chain governance -- Chapter 4. The intersection of AI technology and intellectual property adjudication in supply chain management -- Chapter 5. Impacts of artificial intelligence and machine learning on intelligent supply chains -- Chapter 6. Applications of artificial intelligence and machine learning in supply chain management: an in-depth investigation -- Chapter 7. From tradition to technology: utilization of AI and ML for digital transformation in supply chain management -- Chapter 8. Improving the resilience of supply chains in a post-COVID-19 era: a systematic examination utilizing ML -- Chapter 9. Predictive modeling of supply chain disruptions in the COVID-19 pandemic using advanced machine learning approaches -- Chapter 10. Explainable bayesian-optimized xgboost model for component failure detection in predictive maintenance -- Chapter 11. Intelligent physarum solver for profit maximization in oligopolistic supply chain networks -- Chapter 12. Smart big data collection for intelligent supply chain improvement -- Chapter 13. Post-pandemic biometric challenges and solutions: a shocker to supply chain -- Chapter 14. Mixed traffic modelling: an overview of car following and lane change models -- Chapter 15. A comprehensive review on artificial intelligence-driven radiomics for early cancer detection and intelligent medical supply chain -- Chapter 16. Assessment of the manufacturing quality of metallic surface finishes in artificial intelligence. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success.AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs."-- |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 02/09/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Business logistics. | |
| 650 | 0 | |a Machine learning. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a George, A. Shaji |d 1971- |e editor. | |
| 700 | 1 | |a Kanike, Uday Kumar |d 1981- |e editor. | |
| 700 | 1 | |a Pandey, Binay Kumar, |e editor. | |
| 700 | 1 | |a Pandey, Digvijay |d 1983- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1347-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
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| adam_text | |
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| author2 | George, A. Shaji 1971- Kanike, Uday Kumar 1981- Pandey, Binay Kumar Pandey, Digvijay 1983- |
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| building | Verbundindex |
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| contents | Chapter 1. The digital transformation of supply chain management AI's pioneering role -- Chapter 2. Social psychological obstacles to the implementation of artificial intelligence in supply chain management -- Chapter 3. Integrating machine learning in legal management for intelligent supply chain governance -- Chapter 4. The intersection of AI technology and intellectual property adjudication in supply chain management -- Chapter 5. Impacts of artificial intelligence and machine learning on intelligent supply chains -- Chapter 6. Applications of artificial intelligence and machine learning in supply chain management: an in-depth investigation -- Chapter 7. From tradition to technology: utilization of AI and ML for digital transformation in supply chain management -- Chapter 8. Improving the resilience of supply chains in a post-COVID-19 era: a systematic examination utilizing ML -- Chapter 9. Predictive modeling of supply chain disruptions in the COVID-19 pandemic using advanced machine learning approaches -- Chapter 10. Explainable bayesian-optimized xgboost model for component failure detection in predictive maintenance -- Chapter 11. Intelligent physarum solver for profit maximization in oligopolistic supply chain networks -- Chapter 12. Smart big data collection for intelligent supply chain improvement -- Chapter 13. Post-pandemic biometric challenges and solutions: a shocker to supply chain -- Chapter 14. Mixed traffic modelling: an overview of car following and lane change models -- Chapter 15. A comprehensive review on artificial intelligence-driven radiomics for early cancer detection and intelligent medical supply chain -- Chapter 16. Assessment of the manufacturing quality of metallic surface finishes in artificial intelligence. |
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| dewey-ones | 658 - General management |
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| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00327459 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:52:00Z |
| institution | BVB |
| isbn | 9798369313480 |
| language | English |
| oclc_num | 1420824748 |
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| physical | 23 PDFs (314 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
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| publisher | IGI Global, |
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| spelling | AI and machine learning impacts in intelligent supply chain Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Digvijay Pandey, editors. Artificial intelligence and machine learning impacts in intelligent supply chain Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 23 PDFs (314 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. The digital transformation of supply chain management AI's pioneering role -- Chapter 2. Social psychological obstacles to the implementation of artificial intelligence in supply chain management -- Chapter 3. Integrating machine learning in legal management for intelligent supply chain governance -- Chapter 4. The intersection of AI technology and intellectual property adjudication in supply chain management -- Chapter 5. Impacts of artificial intelligence and machine learning on intelligent supply chains -- Chapter 6. Applications of artificial intelligence and machine learning in supply chain management: an in-depth investigation -- Chapter 7. From tradition to technology: utilization of AI and ML for digital transformation in supply chain management -- Chapter 8. Improving the resilience of supply chains in a post-COVID-19 era: a systematic examination utilizing ML -- Chapter 9. Predictive modeling of supply chain disruptions in the COVID-19 pandemic using advanced machine learning approaches -- Chapter 10. Explainable bayesian-optimized xgboost model for component failure detection in predictive maintenance -- Chapter 11. Intelligent physarum solver for profit maximization in oligopolistic supply chain networks -- Chapter 12. Smart big data collection for intelligent supply chain improvement -- Chapter 13. Post-pandemic biometric challenges and solutions: a shocker to supply chain -- Chapter 14. Mixed traffic modelling: an overview of car following and lane change models -- Chapter 15. A comprehensive review on artificial intelligence-driven radiomics for early cancer detection and intelligent medical supply chain -- Chapter 16. Assessment of the manufacturing quality of metallic surface finishes in artificial intelligence. Restricted to subscribers or individual electronic text purchasers. "Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success.AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/09/2024). Artificial intelligence. Business logistics. Machine learning. Electronic books. George, A. Shaji 1971- editor. Kanike, Uday Kumar 1981- editor. Pandey, Binay Kumar, editor. Pandey, Digvijay 1983- editor. IGI Global, publisher. Print version: 9798369313473 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1347-3 Volltext |
| spellingShingle | AI and machine learning impacts in intelligent supply chain Chapter 1. The digital transformation of supply chain management AI's pioneering role -- Chapter 2. Social psychological obstacles to the implementation of artificial intelligence in supply chain management -- Chapter 3. Integrating machine learning in legal management for intelligent supply chain governance -- Chapter 4. The intersection of AI technology and intellectual property adjudication in supply chain management -- Chapter 5. Impacts of artificial intelligence and machine learning on intelligent supply chains -- Chapter 6. Applications of artificial intelligence and machine learning in supply chain management: an in-depth investigation -- Chapter 7. From tradition to technology: utilization of AI and ML for digital transformation in supply chain management -- Chapter 8. Improving the resilience of supply chains in a post-COVID-19 era: a systematic examination utilizing ML -- Chapter 9. Predictive modeling of supply chain disruptions in the COVID-19 pandemic using advanced machine learning approaches -- Chapter 10. Explainable bayesian-optimized xgboost model for component failure detection in predictive maintenance -- Chapter 11. Intelligent physarum solver for profit maximization in oligopolistic supply chain networks -- Chapter 12. Smart big data collection for intelligent supply chain improvement -- Chapter 13. Post-pandemic biometric challenges and solutions: a shocker to supply chain -- Chapter 14. Mixed traffic modelling: an overview of car following and lane change models -- Chapter 15. A comprehensive review on artificial intelligence-driven radiomics for early cancer detection and intelligent medical supply chain -- Chapter 16. Assessment of the manufacturing quality of metallic surface finishes in artificial intelligence. Artificial intelligence. Business logistics. Machine learning. |
| title | AI and machine learning impacts in intelligent supply chain |
| title_alt | Artificial intelligence and machine learning impacts in intelligent supply chain |
| title_auth | AI and machine learning impacts in intelligent supply chain |
| title_exact_search | AI and machine learning impacts in intelligent supply chain |
| title_full | AI and machine learning impacts in intelligent supply chain Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Digvijay Pandey, editors. |
| title_fullStr | AI and machine learning impacts in intelligent supply chain Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Digvijay Pandey, editors. |
| title_full_unstemmed | AI and machine learning impacts in intelligent supply chain Binay Kumar Pandey, Uday Kumar Kanike, A. Shaji George, Digvijay Pandey, editors. |
| title_short | AI and machine learning impacts in intelligent supply chain |
| title_sort | ai and machine learning impacts in intelligent supply chain |
| topic | Artificial intelligence. Business logistics. Machine learning. |
| topic_facet | Artificial intelligence. Business logistics. Machine learning. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1347-3 |
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