Volume 29, Issue 4, 2020


DOI: 10.24205/03276716.2020.826

An Empirical Study of B2C E-Commerce Logistics Network Optimization


Abstract
Focused on the domain of E Commerce logistics services, this paper clarified the Back ground and signification of the research first try. Then, through the study of current work and field investigations of B2C enterprises, we elaborated the future development of the Industry, generalized the tools and theories that were helpful to us and clarified the technical Route of this study. We designed the two-stage model for the B2C E-Commerce logistics network which was based on the network topology. Based on the characteristics of the Two-stage model, we dis signed an improved genetic algorithm to solve the model. At the same Time, we implemented a decision-making system of B2C logistics network optimization and Verified the practicality of the solution. In the end, we reviewed the research process and Achievements, analyzed the weaknesses and pointed out the next steps of the research.

Keywords
E-Commerce logistics network, logistics network optimization, improved genetic algorithm, gravity model

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