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Record Nr. |
UNINA9910559398303321 |
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Autore |
Perumal Kumaresan |
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Titolo |
Innovative Supply Chain Management via Digitalization and Artificial Intelligence / / edited by Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (208 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 424 |
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Altri autori (Persone) |
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ChowdharyChiranji Lal |
ChellaLogan |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Machine learning |
Industrial management |
Production management |
Artificial Intelligence |
Machine Learning |
Industrial Management |
Operations Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Supply Chain Management 4.0 -- AI applications in Procurement and demand forecasting -- Smart SCM Operations: Production, Planning, Scheduling and Control -- How to build an Automated and Logistics Systems: An IoT Approach -- Automated Process and Information Management -- Driving AI Models in Cloud SCM -- Blockchain Digital Transformation -- Sustainable Supply Chain Strategy -- Supply Chain Risks beyond 2020 -- Virtual Supply Chain management -- Digital Tourism Supply Chains Management -- SMART Food Supply Chain System -- Supply Chain revolution for Agri 4.0 -- Role of Analytics in Supply Chain. |
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Sommario/riassunto |
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This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry |
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4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world. |
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