基于K-means物流配送中心选址模型

Logistics Distribution Center Location Model Based on K-means

针对当前物流配送成本高、效率低、城市物流配送中心选址不合理等问题,在分析国内外物流配送中心选址的基础上,通过对物流配送中心选址的影响因素进行研究,采用计算多维欧几里得距离,构建基于K-means算法的物流配送中心选址模型,该模型根据收货点与各配送中心的欧几里得距离最小值进行聚类,以确定物流配送中心的位置及其所覆盖的收货点,该模型为国内物流公司调整或新增物流配送中心提供了一个解决方案。通过应用实验,验证了模型合理性及有效性,并分析研究中的不足和进一步研究方向。

In response to the current problems of high logistics distribution costs,low efficiency,and unreasonable location selection of urban logistics distribution centers,this article analyzes the location selection of logistics distribution centers at home and abroad,and studies the influencing factors of logistics distribution center location selection.By calculating multidimensional Euclidean distance,a logistics distribution center location model based on K-means algorithm is constructed.This model clusters based on the minimum Euclidean distance between the receiving point and each distribution center to determine the location of the logistics distribution center and the receiving points it covers.This model provides a solution for domestic logistics companies to adjust or add logistics distribution centers.Through application experiments,the rationality and effectiveness of the model are verified,and the shortcomings and further research directions in the study are analyzed.