利用地铁进行城市物流配送的路径选择模型

Route Selection Model of Urban Logistics Distribution Using Subway

设计了一种基于地铁的城市物流配送网络,以配送时间及配送费用为目标,以货车及地铁的载重限制、货物运输流向及相关变量限制为约束,构建双目标配送路径选择模型,通过改进遗传算法对模型进行求解,得出货物调度时间及费用成本。以厦门市的数值为例进行分析,结果表明,当决策者选择偏好为(0.1,0.9)时,配送总运输时间为11.3 h,配送总运输费用为20206.65元。当物流中心与终端站点距离较近时,采用地铁运输会增加配送节点,导致运输成本增加。表明地铁参与运输对中长距离的货物配送更有利。

In this study,an urban logistics distribution network is designed based on the subway.With the distribution time and cost as the target,and the truck and subway load restrictions,freight transport directions and related variable restrictions as the constraints,a dual-objective distribution path selection model is constructed.The model is solved by improving the genetic algorithm to obtain the goods scheduling time and cost.The numerical analysis taking Xiamen City as an example shows that when the decision-maker s preference is(0.1,0.9),the total delivery time is 11.3 h and the total delivery cost is 20,206.65 yuan.When the logistics center is close to the terminal station,the use of subway transportation will increase the distribution nodes,resulting in increased transport costs.It shows that the involvement of metro is more favorable for medium and long distance goods distribution.