摘要
众多电商平台的迅速发展,带动了快递量的高速增长。快递企业开始通过不同的方式优化企业经营模式和创新业务产品,快递与快运的界限已越来越模糊。为了解决快递企业从中转场到达派送站点的车辆路径规划效率不高的问题,文中基于遗传算法,使用MATLAB在实例中进行分析优化验证,结果证明,相较于原有的车辆调度方式,新的车辆调度方式有明显装载率和车辆利用率的提升。
The rapid development of numerous e-commerce platforms has driven the rapid growth of express delivery volume.Express enterprises have begun to optimize their business models and innovate business products in different ways,and the boundary between express and express is becoming vaguer and vaguer.In order to solve the problem that the efficiency of vehicle route planning for express enterprises from transit to delivery station is not high,based on genetic algorithm,this paper uses MATLAB to carry out analysis and optimization verification in an example,and the results show that compared with the original vehicle scheduling mode,the new vehicle scheduling mode s loading rate and vehicle utilization rate are significantly improved.
作者
吴新程
陈秀乾
蓝贤钢
WU Xin-cheng;CHEN Xiu-qian;LAN Xian-gang(School of Navigation,Xiamen Ocean Vocational College,Xiamen 361000;The Open University of Fujian,Fuzhou 350013;Zhuhai City Polytechnic,Zhuhai 519090,China)
出处
《物流工程与管理》
2023年第3期122-124,共3页
Logistics Engineering and Management
关键词
快递
车辆路径问题
模型
遗传算法
express delivery
vehicle routing problem
model
genetic algorithm
