基于大数据分析的农村电商物流最后一公里的配送问题研究

发布时间：2018-10-18 06:59

【摘要】：针对农村电商物流最后一公里配送问题,物流公司更新了多种配送方法,但均未能有效提高物流配送服务。因此,提出一种基于大数据分析的农村电商物流最后一公里配送方法。所提方法从收货人的利益和配送成本出发,采用以收货人间接取货为主的配送模式,设置了自助提货点和自动提货仪器,构建以无向图为基础的大数据分析模型,采用动态分析方法规划出最优配送路线,用来弥补不能及时将货物交由收货人手中而造成的配送成本高、效率低的问题。实验结果表明,所提方法的计算性能好,用户满意度高,能够从根本上解决农村电商物流最后一公里的相关配送问题。
[Abstract]:In order to solve the problem of the last kilometer distribution of rural e-commerce logistics, logistics companies have updated many distribution methods, but none of them can effectively improve the logistics delivery service. Therefore, a last kilometer distribution method of rural e-commerce logistics based on big data analysis is proposed. Based on the benefit of the consignee and the cost of delivery, the proposed method adopts the delivery mode of indirect cargo taking by the consignee, sets up the self-service pick-up point and the automatic pick-up instrument, and constructs big data's analytical model based on undirected graph. The dynamic analysis method is used to plan the optimal distribution route to make up for the problems of high cost and low efficiency caused by the failure to hand the goods to the consignee in time. The experimental results show that the proposed method has good computing performance and high customer satisfaction. It can fundamentally solve the related distribution problem of the last kilometer of rural e-commerce logistics.
【作者单位】：海南热带海洋学院;
【基金】：国家自然科学基金青年科学基金项目(71401080)
【分类号】：F252;F724.6;U116

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