Research Of B2C E-Commerce Logistics Network Optimization

Recently, E-Commerce is developing rapidly in China. As the core business inE-Commerce, the logistics service’s volume has a rapid growth as well. However, commonlogistics companies couldn’t afford the services that could satisfy the actual demands of theE-Commerce logistics. Some B2C enterprises with comprehensive strength start constructingtheir own logistics systems in order to satisfy their business demands. But they still could notfigure out the problems of high cost, which has become the barrier to the development of thisindustry. The optimization of B2C E-Commerce logistics network helps to reorganize theresources of the network, reduce the operation cost, improve the service abilities and servicelevel of a B2C E-Commerce logistics system. For a B2C E-Commerce, it has become anurgent problem to figure out how to build up an optimal logistics system.This paper mainly focused on optimization of the B2C E-Commerce domestic logisticsnetwork and regional logistics network. The main work in this study was divided into threeparts as follows: First, we designed a specific network topology for the B2C E-Commerceregional logistics. It has three different levels, nodes in each level are: the Supply Center, theRegional Distribution Center and Cities-circle Distribution Center. Second, based on thenetwork topology, we proposed the two-stage model for the B2C E-Commerce logisticsnetwork with reference to all factors in network. In the first stage, we proposed apolymerization solution to the B2C E-Commerce logistics network in the consideration oforders and distances. In the second stage, we proposed a mixed-integer programming modelwith the objective of minimizing the total cost of the whole system within the consideration ofall the cost factors. Third, to solve the model, we designed an improved genetic algorithm, which used the ideas of simulated anneal algorithm and GA adaptive strategy to control theconvergence. At the last part of this paper, we verified the solution through the actual businessdata of a B2C enterprise.Focused on the domain of E-Commerce logistics services, this paper clarified thebackground and signification of the research firstly. Then, through the study of current workand field investigations of B2C enterprises, we elaborated the future development of theindustry, generalized the tools and theories that were helpful to our and clarified the technicalroute of this study. We designed the two-stage model for the B2C E-Commerce logisticsnetwork which was based on the network topology. Based on the characteristics of thetwo-stage model, we designed an improved genetic algorithm to solve the model. At the sametime, we implemented a decision-making system of B2C logistics network optimization andverified the practicality of the solution. In the end, we reviewed the research process andachievements, analyzed the weaknesses and pointed out the next steps of the research.