摘要
合理的配送路径选择规划是提升零售企业的配送作业效益与服务水平的关键因素,对物流配送路径优化问题的研究具有现实意义。选择某连锁超市上海区域为研究对象,首先对零售企业车辆路径优化问题进行了研究综述,其次通过实地调研及网络资料总结了连锁超市上海区域的配送业务基本情况,分析了配送中存在的配送路线设计不合理、配送成本过高等问题。再次从实际约束条件出发,就现状与问题建立了VRP模型,提出了蚁群优化算法优化迭代次数。最后借助MATLAB软件以及真实数据对模型进行了求解,提出配送路径优化方案,并对比分析了优化后的方案可提高配送效益,论证了构建模型及其算法的可行性。
Reasonable distribution path selection planning is a key factor to improve the distribution operation efficiency and service level of retail enterprises,so the research on the optimization of logistics distribution path is of practical significance.Selecting the Shanghai area of a supermarket chain as the research object,the author first studies and expounds the optimization of the vehicle routing of retail enterprises,and then summarizes the distribution business of the Shanghai area of the supermarket chain via field research and internet data,analyzing the problems in the distribution such as unreasonable distribution route design and high distribution cost,etc.Then the author considers the actual constraints in the distribution,builds up a VRP model based on the present situation and the problems,and proposes the ant colony optimization to optimize the iterations.Finally,with the help of the MATLAB software as well as the authentic data,the author resolves the model,proposes an optimization scheme for distribution path,proves that the optimized scheme can improve distribution efficiency through comparative analysis,thus concludes that it is feasible to build the model and use the algorithm to solve the model.
作者
吴竞鸿
WU Jing-hong(Department of Business Management,Anhui Business College,Wuhu 241002,China)
基金
安徽省高校人文社科研究重点项目(SK2019A0866)
安徽商贸职业技术学院科研项目(2018KYR01)
关键词
零售企业
配送路径优化
VRP模型
蚁群优化算法
retail enterprises
optimization of the distribution path
VRP model
ant colony optimization
