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Data Driven Technologies and Artificial Intelligence in Supply Chain : Tools and Techniques.
・ISBN 978-1-032-42673-0 2023 hard GB£ 171.99
￥54,486.- (税込) ※（※）価格はご注文時の参考価格となります。
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・ISBN 978-1-032-61129-7 2025 paper GB£ 55.99
￥17,737.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-003-46216-3
| 著者・編者 | Chand, Mahesh / Jain, Vineet / Ajmera, Puneeta (eds.), |
|---|---|
| シリーズ | Intelligent Data-Driven Systems and Artificial Intelligence |
| 出版社 | (CRC Pr., US) |
| 出版年月 | 2023.11 |
| ページ数 | 276 pp. |
| 言語 | ENG |
| ニュース番号 | ＜705-407 705-468＞ |
解説
This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.
- "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"
- Emphasizes the impact of a data-driven supply chain on quality management
- "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"
- Highlights the barriers to implementing artificial intelligence in small and medium enterprises
- Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks
The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.