摘要
利用聚类分析、0-1数学规划模型等方法,求解出高校校园内所需的智能自提柜的数量,确定每个智能自提柜的最优的布设地点,并以北京邮电大学为例对其应用进行了说明,为解决智能自提柜选址问题提供参考和借鉴,解决高校校园内快件末端投递问题。
Based onclustering analysis,0-1 integer programmingmodel and other methods,this paper works out the quantity and optimal layout of the intelligent self-service lockerin a campus,and takes Beijing University of Posts and Telecommunications as an example to illustrate the application of the series methods. This paperprovidesa reference for the location issues of intelligent self-service locker,which helps solving the lastmile delivery problem oncampus.
作者
李镜璇
卢山
LI Jing - xuan;LU Shan(Automation School of Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《物流工程与管理》
2018年第1期74-77,共4页
Logistics Engineering and Management
关键词
智能自提柜
布局选址
最后一公里
intelligent self - service locker
site selection
the last mile