A k-product uncapacitated facility location problem

被引:14
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
相关论文
共 21 条
[1]   A 3-approximation algorithm for the k-level uncapacitated facility location problem [J].
Aardal, K ;
Chudak, FA ;
Shmoys, DB .
INFORMATION PROCESSING LETTERS, 1999, 72 (5-6) :161-167
[2]  
[Anonymous], 1999, 40 ANN S FDN COMP SC
[3]  
Charikar M., 1999, Proceedings of the Thirty-First Annual ACM Symposium on Theory of Computing, P1, DOI 10.1145/301250.301257
[4]   Improved approximation algorithms for the uncapacitated facility location problem [J].
Chudak, FA ;
Shmoys, DB .
SIAM JOURNAL ON COMPUTING, 2003, 33 (01) :1-25
[5]  
FISHER ML, 1978, MATH PROGRAM STUD, V8, P73, DOI 10.1007/BFb0121195
[6]  
Garey MR, 1979, Computers and Intractablity: A Guide to the Theoryof NP-Completeness
[7]   Greedy strikes back: Improved facility location algorithms [J].
Guha, S ;
Khuller, S .
JOURNAL OF ALGORITHMS-COGNITION INFORMATICS AND LOGIC, 1999, 31 (01) :228-248
[8]  
Jain K., 2002, P THIRY 4 ANN ACM S, P731, DOI [10.1145/509907.510012, DOI 10.1016/J.0RL.2006.03.0]
[9]  
JAIN K, 1999, P 40 ANN IEEE S FDN, P2
[10]  
Jyh-Han Lin, 1992, Proceedings of the Twenty-Fourth Annual ACM Symposium on the Theory of Computing, P771, DOI 10.1145/129712.129787