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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/21/10105 |