Dynamic Lead-Time Forecasting Using Machine Learning in a Make-to-Order Supply Chain
This paper investigates the dynamic forecasting of lead-time, which can be performed by a logistics company for optimizing temporal shipment consolidation. Shipment consolidation is usually utilized to reduce outbound shipments costs, but it can increase the lead time. Forecasting in this paper is p...
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Auteurs principaux: | , , |
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Format: | article |
Langue: | EN |
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MDPI AG
2021
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Accès en ligne: | https://doaj.org/article/57cbc066c5524738a057357fdd837277 |
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