Study on Optimization of Logistics Distribution Path of Rural E-commerce Enterprises

Xiaojun Deng, Xiang Li
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Abstract

The level of rural informatization in China has significantly increased due to the accelerated development of the digital economy. E-commerce has emerged as a new force for the growth of rural economies, and the development of rural ecommerce logistics is also confronted with new opportunities and difficulties. In this essay, we begin by discussing the logistics and distribution chain based on the vehicle Travelling Salesman Problem (TSP) model. Then considering Company A as an example, using the genetic algorithm and simulated annealing algorithm to conduct a comparative study on the logistics distribution path of rural e-commerce enterprises. In order to identify the optimal distribution route, and serve as a guide for other rural e-commerce businesses to increase the overall effectiveness of rural e-commerce logistics.
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农村电子商务企业物流配送路径优化研究
随着数字经济的加速发展,中国农村信息化水平显著提高。电子商务已经成为农村经济增长的生力军,农村电子商务物流的发展也面临着新的机遇和困难。本文首先讨论了基于车辆旅行商问题(TSP)模型的物流配送链问题。然后以A公司为例,利用遗传算法和模拟退火算法对农村电商企业的物流配送路径进行对比研究。以确定最优配送路线,并为其他农村电子商务企业提高农村电子商务物流的整体效益提供指导。
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