摘要
在分析了金融票据物流网络特点及结构的基础上,针对金融票据物流网络中影响配送站选址的相关因素,提出了一种两阶段选址方法:第一阶段采用一种基于DBSCAN的k-means聚类方法完成各配送区域的划分;第二阶段采用一种基于配送网点的递送量与递送频次的改进重心法,建立了各区域配送站的选址模型。最后以某票据物流企业为背景,对该模型进行了实证研究。
On the basis of analyzing the features and structure of financial bill logistics, the paper proposes a two-stage location method in the light of the related impacting factors of distribution station location and clustering mathematical theory. The first satage is to use a DBSCAN-based k-means clustering method to realize the distribution region division. The second stage is to use an improved barycenter method based on the amount of delivery and frequency of delivery to establish location models for each distribution station and finally shows a bill logistics enterprise as an example.
出处
《物流技术》
2009年第4期73-77,共5页
Logistics Technology
