A fuzzy clustering-based hybrid method for a multi-facility location problem

被引：52

作者：

Esnaf, Sakir ^{[1
]}

Kucukdeniz, Tarik ^{[1
]}

机构：

[1] Istanbul Univ, Dept Ind Engn, Cerrahpasa Engn Fac, Istanbul, Turkey

来源：

JOURNAL OF INTELLIGENT MANUFACTURING | 2009年 / 20卷 / 02期

关键词：

Fuzzy clustering; A multi-facility location problem; Center-of-gravity method; Logistics; MODEL;

D O I：

10.1007/s10845-008-0233-y

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A fuzzy clustering-based hybrid method for a multi-facility location problem is presented in this study. It is assumed that capacity of each facility is unlimited. The method uses different approaches sequentially. Initially, customers are grouped by spherical and elliptical fuzzy cluster analysis methods in respect to their geographical locations. Different numbers of clusters are experimented. Then facilities are located at the proposed cluster centers. Finally each cluster is solved as a single facility location problem. The center of gravity method, which optimizes transportation costs is employed to fine tune the facility location. In order to compare logistical performance of the method, a real world data is gathered. Results of existing and proposed locations are reported.

引用

页码：259 / 265

页数：7

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