城市快速物流配送网络末端节点——前置仓选址研究  

End node of urban rapid logistics distribution network-study on site selection of pre-storage

作　　者：周晓晔[1] 闫泓月 马小云[1] 任贵彬 ZHOU Xiao-ye;YAN Hong-yue;MA Xiao-yun;REN Gui-bin(School of Management,Shenyang University of Technology,Shenyang 110870,China)

机构地区：[1]沈阳工业大学管理学院,沈阳110870

出　　处：《沈阳工业大学学报（社会科学版）》2020年第5期422-427,共6页Journal of Shenyang University of Technology(Social Sciences)

基　　金：辽宁省社会科学规划基金重点项目(L18AGL005);辽宁省教育厅人文社会科学重点研究基地项目(ZJ2014016)。

摘　　要：在城市快速物流配送需求不断增加以及用户要求更加个性化的背景下,城市快速物流配送存在配送不及时、效率低下等诸多问题。为了提高城市快速物流的配送效率,将前置仓作为城市快速物流配送网络的末端节点,直接将仓库下沉至最终用户,缩短末端配送距离。在考虑前置仓配送服务范围的前提下,运用引入了道路非直线系数的K-means聚类方法对前置仓的选址构建聚类模型,并利用IBM SPSS Statistics20软件对某市区范围内的前置仓选址进行实例分析与计算。Under the background of increasing demand for urban rapid logistics distribution and more individualized user requirements,there are many problems in urban rapid logistics distribution,such as untimely distribution,low efficiency and so on.In order to improve the distribution efficiency of urban rapid logistics,the pre-storage is taken as the end node of urban rapid logistics distribution network,the warehouse is sunk directly to the end user,and the distance of end distribution is shortened.Considering the scope of pre-storage distribution services,the K-means clustering method with road non-linear coefficient is used to construct clustering model for location selection of pre-storage.An example analysis and calculation of the location of a pre-storage in an urban area are carried out by using IBM SPSS Statistics 20 software.

关 键 词：快速物流 前置仓 选址 K-means聚类法 

分 类 号：F259.2[经济管理—国民经济]