Optimized Location Planning of Logistics Park Based on Implicit Enumeration

被引:0
|
作者
Liu Xiaohui [1 ]
Zhao Xueyu
Xue Yapei [1 ]
Zhu Cuijuan [1 ]
机构
[1] Beihua Univ, Coll Traff & Bldg Engn, Jilin, Peoples R China
来源
KNOWLEDGE DISCOVERY AND DATA MINING | 2012年 / 135卷
关键词
Logistics Parks; Mathematical models; Implicit Enumeration; Location schemes;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
AHP, Fuzzy Comprehensive Evaluation, Centre-of-gravity method, Cross Median Method, Kuehn-Hamburger Model, Baumol-Wolfe Model and Blson Model are the most used location methods on logistics parks. Those methods are obviously different from each other in many ways, such as what factors should be considered or ignored, the form and establishing method of mathematical model, the model's calculation methods, application and the advantages and disadvantages, and so on. On the basis of comparing and analyzing various location methods of logistics parks, this paper determines the most suitable scheme, establishes the mathematical model and solves it with Implicit Enumeration, and finally examines a site to determine its suitability for logistics parks.
引用
收藏
页码:327 / +
页数:2
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