A study of the optimisation of commercial vehicles' distribution in multimodal transport network

H. Zhang, Shensi Xu, Mengjiao Tang
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引用次数: 1

Abstract

This paper focuses on the choice of the commercial vehicles' distribution centre, distribution routes and transportation mode, as well as the reliability of service. According to the nodes decision, the cluster analysis is selected as the basis of choosing the regional distribution centres. In terms of the distribution routes and methods, a distribution optimisation model is constructed inclusive of the transportation cost, transfer cost and punishment cost. And then a chaos particle swarm algorithm is effectively applied to solving the problem. Finally, the data from a vehicle logistics enterprise is analysed carefully. It proves that the arithmetic is effective and reliable when the regional distribution centres and the distribution routes are selected.
多式联运网络中商用车分布优化研究
本文主要研究商用车配送中心、配送路线和运输方式的选择以及服务的可靠性。根据节点的选择,选择聚类分析作为选择区域配送中心的依据。在配送路线和配送方式方面,构建了包含运输成本、转移成本和处罚成本的配送优化模型。然后将混沌粒子群算法有效地应用于该问题的求解。最后,对某汽车物流企业的数据进行了分析。结果表明,该算法在区域配送中心和配送路线的选择上是有效可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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