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计算机系统应用:2018,27(9):215-219
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基于BIRCH聚类的物流配送设施选址算法
李捷承1,2, 陶耀东2, 孙咏2, 高岑2
(1.中国科学院大学, 北京 100049;2.中国科学院 沈阳计算技术研究所, 沈阳 110168)
Location Algorithm of Logistics Distribution Facilities Based on BIRCH Clustering
LI Jie-Cheng1,2, TAO Yao-Dong2, SUN Yong2, GAO Cen2
(1.University of Chinese Academy of Sciences, Beijing 100049, China;2.Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China)
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投稿时间:2018-02-12    修订日期:2018-03-07
中文摘要: 物流配送设施的选址对于物流成本、在途时间影响巨大.其特点包括:配送设施选址和配送路线交互影响、多层级选址、配送设施存件数量均衡性等.本文通过分析物流配送设施选址的特点设计了一个基于BIRCH聚类的物流配送设施选址算法,融合了BIRCH聚类算法和基于Dijkstra距离的重心法,为物流配送设施选址提供了更好的方案,大幅节约长期运营成本.
Abstract:The location of logistics distribution facilities has a great impact on logistics costs and deliver time. Its features include:the interaction between the location of delivery facilities and the delivery route planning, the multi-level location, the balance of shipment quantity, etc. Through the analysis of the characteristics of logistics distribution facilities location, a BIRCH-based logistics distribution facility location algorithm, a combination of BIRCH clustering algorithm and Dijkstra-based gravity center method, is designed to provide a better location and save long-term operating costs.
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李捷承,陶耀东,孙咏,高岑.基于BIRCH聚类的物流配送设施选址算法.计算机系统应用,2018,27(9):215-219
LI Jie-Cheng,TAO Yao-Dong,SUN Yong,GAO Cen.Location Algorithm of Logistics Distribution Facilities Based on BIRCH Clustering.COMPUTER SYSTEMS APPLICATIONS,2018,27(9):215-219

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