电子商务直接配送的随机库存路径仿真研究  

Research on Stochastic Inventory Path Simulation of E-commerce Direct Distribution

作　　者：王岸明[1] WANG An-ming(Sias International College,Zhengzhou University,Zhengzhou Henan 451150,China)

机构地区：[1]郑州大学西亚斯国际学院

出　　处：《计算机仿真》2019年第12期464-467,共4页Computer Simulation

摘　　要：库存路径问题同时解决了电子商务系统的库存管理和配送路径分配两种互相联系的复杂的决策问题。传统库存路径存在配送时间过长、配送费用较高等问题。针对上述问题,利用蚁群算法以及模拟退火算法,提出了一种基于混合算法的电子商务直接配送随机库存路径优化方法。通过对电子商务直接配送随机库存路径进行分析,获取随机库存路径的总运输时间和运输费用,以此目标构建随机库存路径优化模型。引入带混沌扰动的模拟退火算法对库存路径优化模型进行求解,并在算法中引入基本蚁群算法,避免获取的解为局部最优解,增强全局搜索能力,提高求解效率。实验结果表明,所提方法有效减少了配送时间,提高了企业工作效率,与此同时,降低了配送费用。Traditional inventory route has long delivery time and high delivery cost.This paper puts forward a random inventory route method of direct delivery of e-commerce based on mixed algorithm via ant colony algorithm and simulated annealing algorithm to overcome the defects.Firstly,total transportation time and transportation cost of the random inventory route were acquired via analyzing the random inventory route.Then,an optimization model of the route was built.The simulated annealing algorithm with chaos disturbance was introduced to solve the optimization model.Meanwhile,the basic ant colony algorithm was introduced into the algorithm to avoid locally optimal solution,enhance global searching ability,and improve solution efficiency.Simulation results show that the proposed method can reduce the delivery time and improve work efficiency of enterprise.At the same time,the method reduces the delivery cost.

关 键 词：电子商务 直接配送 随机库存 路径 

分 类 号：F393[经济管理—产业经济]