Optimization of Truck–Cargo Online Matching for the Less-Than-Truck-Load Logistics Hub under Real-Time Demand

Optimization of Truck–Cargo Online Matching for the Less-Than-Truck-Load Logistics Hub under Real-Time Demand

Reasonable matching of capacity resources and transported cargoes is the key to realizing intelligent scheduling of less-than-truck-load (LTL) logistics. In practice, there are many types and numbers of participating objects involved in LTL logistics, such as customers, orders, trucks, unitized impl...

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Bibliographic Details
Main Authors: Weilin Tang, Xinghan Chen, Maoxiang Lang, Shiqi Li, Yuying Liu, Wenyu Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
LTL logistics
truck–cargo matching
truck scheduling
real-time demand
online algorithm
Online Access:https://www.mdpi.com/2227-7390/12/5/755

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https://www.mdpi.com/2227-7390/12/5/755

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