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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Autores principales: Mohammed Alnahhal, Diane Ahrens, Bashir Salah
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/57cbc066c5524738a057357fdd837277
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