A data analytics-driven approach to backorder prediction using federated machine learning in industrial supply chains
Abstract In the modern era, businesses and production industries are increasingly adopting innovative technologies and data-driven approaches to optimize their supply chain processes. In this regard, promptly handling backorders has a significant impact on enhancing the company’s supply chain effici...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2026-01-01
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| Series: | Scientific Reports |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1038/s41598-025-34578-z |
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