快递爆仓期电商物流末端配送路线规划仿真

Simulation of E-Commerce Logistics Terminal Distribution Route Planning During the Express Delivery Period

在快递爆仓期间,应用传统的物流配送路线规划方法规划出的配送路线成本较高。为了解决上述问题,提出一种新的电商物流末端配送路线规划方法。设立农产品电子商务平台,在平台上划分配送区域并采集配送的起始点,按照需求点的数量和距离选择配送中心地址、按照送货的距离进行配送排序得到初始路径,最后利用蚁群算法,从时间最短、路程最短、运费最省三个方面实现物流配送原始路径的优化,并通过更新信息素的方法实现配送路线的动态更新。经仿真可知:相较于传统的配送路线规划方法,该配送路线规划方法规划出的路线时间成本节省了33.3%,路程成本节省了24.5%,运费成本节省了60.1%,实现了有效的路径规划。

In this article,a new route planning method for e-commerce logistics terminal distribution was proposed.At first,e-commerce platform of agricultural products was built.On the platform,the distribution regions were divided and the starting points for distribution were collected.According to the number and distance of demand points,the distribution center address was selected.Based on the distribution distance,the initial path was obtained by distribution scheduling.Finally,the ant colony algorithm was adopted.In order to minimize total transportation cost,time and distance,the original path of logistics distribution was optimized.Thus,the dynamic update of delivery path was achieved by updating the pheromone.Simulation results show that,compared with the traditional distribution route planning method,the proposed method saves 33.3%of the time cost,24.5%of the distance cost,and 60.1%of the freight cost.Thus,the effective path planning is achieved.