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About Backorder Prediction in The Supply Chain Using Machine Learning
This document discusses using machine learning algorithms to predict backorders in the supply chain. Various machine learning algorithms like artificial neural networks, classification and regression trees, random forest, and K-nearest neighbors are analyzed on a real-world backorder dataset. The algorithms are tested on separate model and test datasets to predict backorders. The results from each algorithm are compared to select the one with the highest accuracy. Predicting backorders using machine learning can help supply chain managers make better decisions to reduce shortages and improve performance.
Detailed Information
| Author: | ['sri baginda'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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