摘要：随着电子商务的迅速发展，作为电子商务发展瓶颈之一的物流配送引起广泛的重视。在物流配送系统中，车辆路线问题起着至关重要的作用。合理调度运输车辆、优化运输线路、降低物流成本，已经成为现代物流企业物流管理的一个核心问题，直接影响和决定着物流企业的核心竞争力。同时，车辆优化调度问题的研究对于当今社会的发展也具有重要意义。文章基于该问题，采取节约里程法对生产企业的物流配送路径优化展开分析研究，并对优化前后的路径里程与车辆使用数量进行对比。电子商务环境下的物流配送具有客户位置分散、订单多、批量小和路线重复的特点，传统的线路优化方法都在不同程度上遇到各种问题。本文结合在电子商务环境下物流配送的特点和要求，针对电子商务物流配送企业发展过程中存在的问题进行研究。应用所学的专业知识，理论联系实际，结合具体实例，对A企业在电子商务环境下物流配送路径优化问题进行深入分析和探讨，运用节约里程法建立数学模型，最后通过实例验证了该算法的可行性、实用性和高效性。

关键词：物流配送 路径优化 节约里程法

ABSTRACT: With the rapid development of e-commerce, logistics distribution as one of the e-commerce development bottlenecks, which causes widespread attention . And in the logistics system, the vehicle routing problem plays a vital role. For modern logistics enterprises, transport vehicle scheduling and transportation route optimization and reductionof Transportation costs, logistics management has become a core issue. And decisions directly affect the core competitiveness of logistics enterprises, meanwhile, vehicle scheduling problem in today's society for the development of research also has important significance. This paper is based on the problem, take the savings mileage method of manufacturing enterprises to analyze logistics distribution route optimization studies, and before and after optimization of the number of vehicles using the route mileage and compare. E-commerce logistics and distribution environments with customers scattered locations, orders, small batch and route duplication features, the traditional route optimization methods are, in varying degrees encounter various problems. In this paper, logistics and distribution in e-commerce environment, the characteristics and requirements for the development of e-commerce logistics and distribution business problems studied. Apply our professional knowledge, theory with practice, with specific examples. A business under the  e-commerce environment, logistics and distribution route optimization issues in-depth analysis and discussion, the use of mathematical models to save mileage method, using the final algorithm is verified by examples feasibility, practicality and efficiency.

Keywords: Logistics distribution；Routing optimization；Saving Algorithm