Machine Learning Applications in the Supply Chain, a Literature Review
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09753-9_58
Reference29 articles.
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2. Aboutorab H, Hussain OK, Saberi M, Hussain FK (2022) A reinforcement learning-based framework for disruption risk identification in supply chains. Future Gener Comput Syst 126:110–122. https://doi.org/10.1016/j.future.2021.08.004
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4. Carbonneau R, Laframboise K, Vahidov R (2008) Application of machine learning techniques for supply chain demand forecasting. Eur J Operat Res 184(3):1140–1154. https://doi.org/10.1016/j.ejor.2006.12.004
5. Han C, Zhang Q (2021) Optimization of supply chain efficiency management based on machine learning and neural network. Neural Comput Appl 33:1419–1433
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1. Backorder Prediction in Inventory Management: Classification Techniques and Cost Considerations;2023 27th International Computer Science and Engineering Conference (ICSEC);2023-09-14
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