| Autor: |
Shen Ruilin, Zhou Fuken, Ye Xiaoying, Zhong Lun, Feng Siyuan |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
E3S Web of Conferences, Vol 565, p 03017 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202456503017 |
| Popis: |
As competition in the global market continues to intensify and customer needs become increasingly diverse, the importance of supply chain management (SCM) has become increasingly prominent. In recent years, the rapid development of artificial intelligence technology (AI) has provided new solutions for improving the efficiency and accuracy of supply chain management. This article deeply explores the application of AI technology in supply chain management, including key aspects such as demand forecasting, inventory management, risk management and supply chain automation. Analyze the advantages of using artificial intelligence technology through case studies. Finally, the current research is summarized and future research directions are proposed. This research not only provides new ideas for supply chain management for enterprises, but also lays a solid foundation for future research in related fields. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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