Intermittent Demand Forecasting for Spare Parts Using Artificial Neural Networks and Deep Learning: Literature Review
Forecasting Intermittent demand for spare parts is essential for enhancing inventory management, particularly in industries where unplanned equipment downtime and inventory holding costs are significant. Conventional forecasting methods often underperform in handling the sporadic and nonlinear natur...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Assiut University, Faculty of Engineering
2025-11-01
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| Series: | JES: Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://jesaun.journals.ekb.eg/article_442296_000672de78d030af83e3fa88862fdee7.pdf |
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