ABSTRACT

This paper takes the field of e-commerce logistics service of agricultural products as the research object, and expounds on the research background and significance of this paper. Then, through the research and field investigation of the current situation of B2C enterprises, this paper expounds on the future development direction of the B2C industry, summarises the tools and theories that are helpful to us, and defines the technical route of this paper. A two-stage model of B2C agricultural products e-commerce logistics network based on network topology is designed. According to the characteristics of the two-stage model, an improved genetic algorithm is designed to solve the model. At the same time, the B2C logistics network optimisation decision system is realised, which verifies the practicability of the scheme. Finally, the paper reviews the research process and results, analyses the shortcomings, and points out the next research direction.

摘要

本文以农产品电子商务物流服务领域为研究对象,阐述了本文的研究背景和意义。然后，通过对B2C企业现状的调研和实地考察，阐述了B2C行业未来的发展方向，总结了对我们有帮助的工具和理论，明确了本文的技术路线。设计了一种基于网络拓扑结构的B2C农产品电子商务物流网络两阶段模型。根据两阶段模型的特点，设计了一种改进的遗传算法对模型进行求解。同时实现了B2C物流网络优化决策系统，验证了方案的实用性。最后，