A k-product uncapacitated facility location problem

被引:15
|
作者
Huang, Huei-Chuen
Li, Rongheng
机构
[1] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 117576, Singapore
[2] Hunan Normal Univ, Dept Math, Changsha 410081, Peoples R China
关键词
heuristic; approximation algorithms; computational complexity; facility location; k-product;
D O I
10.1016/j.ejor.2007.01.010
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A k-product uncapacitated facility location problem can be described as follows. There is a set of demand points where clients are located and a set of potential sites where facilities of unlimited capacities can be set up. There are k different kinds of products. Each client needs to be supplied with k kinds of products by a set of k different facilities and each facility can be set up to supply only a distinct product with a non-negative fixed cost determined by the product it intends to supply. There is a non-negative cost of shipping goods between each pair of locations. These costs are assumed to be symmetric and satisfy the triangle inequality. The problem is to select a set of facilities to be set up and their designated products and to find an assignment for each client to a set of k facilities so that the sum of the setup costs and the shipping costs is minimized. In this paper, an approximation algorithm within a factor of 2k + 1 of the optimum cost is presented. Assuming that fixed setup costs are zero, we give a 2k - 1 approximation algorithm for the problem. In addition we show that for the case k = 2, the problem is NP-complete when the cost structure is general and there is a 2-approximation algorithm when the costs are symmetric and satisfy the triangle inequality. The algorithm is shown to produce an optimal solution if the 2-product uncapacitated facility location problem with no fixed costs happens to fall on a tree graph. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:552 / 562
页数:11
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