Truck Scheduling Optimization Considering Combination of Multi-size Container Tasks Under Separation Mode

被引:0
|
作者
Jin Z.-H. [1 ]
Huang Y. [1 ]
Zhang J.-Y. [1 ]
Xu S.-D. [1 ]
机构
[1] College of Transportation Engineering, Dalian Maritime University, Liaoning, Dalian
基金
中国国家自然科学基金;
关键词
ant colony algorithm; multi-size container tasks; scheduling optimization; separation mode; transportation economy;
D O I
10.16097/j.cnki.1009-6744.2022.05.025
中图分类号
学科分类号
摘要
This paper focuses on the truck scheduling problem of multi- size container tasks in a local area near a terminal under separation mode. During the transportation process, the remaining capacity of the truck changes continuously with the tasks performed by the truck. Considering the matching between the container size of the task and the current state of the container truck, a mixed integer programming model is established with the objective of minimizing the total cost during the use, driving, and wait of all trucks. According to the model characteristics, an ant colony algorithm based on an infeasible arc filtering strategy is designed to improve the solution performance. Numerical experiments are carried out by randomly generating numerical examples with different task types, proportions, and sizes from Solomon data sets. The results prove the correctness of the model and the stability and effectiveness of the algorithm, and then the cost of the separation mode is compared with that of the traditional mode. The results show that the total transportation cost of the separation mode is 45.10% lower than that of the traditional mode. When the task scale increases, the difference in the cost between the two modes becomes more obvious, which shows the advantages of the combination of the separation mode and the multi-size container collection and distribution operations. © 2022 Science Press. All rights reserved.
引用
收藏
页码:243 / 252
页数:9
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