多仓库满载车辆路径:一种基于网络流的新算法

Mingshan Zhang, Dali Jiang, Xiaowo Tang
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引用次数: 4

摘要

本文研究了一组相同车辆执行一组卡车数量的货运订单的调度问题。我们提出了一种从最优解出发的算法,该算法并行考虑了问题中的所有数据,包括卸载旅行成本、货运订单、仓库、车辆可用性和每个仓库的车辆接收能力。然后通过启发式运算迭代修改网络解,并根据修改后的解确定车辆的路径。该算法的一个新特点是可以选择求解网络模型来调度剩余车辆。
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Full Load Vehicle Routing with Multiple Depots: A New, Network Flow Based Algorithm
This paper considers the problem of scheduling a fleet of identical vehicles to execute a set of freight orders in truckload quantities. We propose an algorithm that starts from an optimal solution to a network flow model which considers all data in the problem in parallel including unloaded travel costs, freight orders, depots, availability of vehicles and the vehicle receiving capacity at each depot. The network solution is then iteratively modified through heuristic operations and the routing of vehicles is determined based on the modified solution. A novel feature of the algorithm is the option of resolving the network model for scheduling the remaining vehicles.
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