Facility location dynamics: An overview of classifications and applications

被引:230
作者
Arabani, Alireza Boloori [2 ]
Farahani, Reza Zanjirani [1 ]
机构
[1] Kingston Univ, Kingston Business Sch, Dept Informat & Operat Management, Kingston Upon Thames KT2 7LB, Surrey, England
[2] Wayne State Univ, Dept Ind & Syst Engn, Detroit, MI 48202 USA
关键词
Static facility location; Dynamic facility location; Location-relocation; Multi-period; Time-dependent; Stochastic; DEMAND-DEPENDENT SETUP; PLANT LOCATION; ALLOCATION PROBLEM; WAREHOUSE LOCATION; DECISION-MAKING; MODEL; ALGORITHM; RELOCATION; MULTICOMMODITY; SYSTEM;
D O I
10.1016/j.cie.2011.09.018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In order to modify the current facility or develop a new facility, the dynamics of facility location problems (FLPs) ought to be taken into account so as to efficiently deal with changing parameters such as market demand, internal and external factors, and populations. Since FLPs have a strategic or long-term essence, the inherited uncertainty of future parameters must be incorporated in relevant models, so these models can be considered applicable and ready to implement. Furthermore, due to largely capital outlaid, location or relocation of facilities is basically considered as a long-term planning. Hence, regarding the way in which relevant criteria will change over time, decision makers not only are concerned about the operability and profitability of facilities for an extended period, but also seek to robust locations fitting well with variable demands. Concerning this fact, a trade-off should be set between benefits brought by facility location changes and costs incurred by possible modifications. This review reports on literature pointing out some aspects and characteristics of the dynamics of FLPs. In fact, this paper aims not only to review most variants of these problems, but also to provide a broad overview of their mathematical formulations as well as case studies that have been studied by the literature. Finally, based on classified research works and available gaps in the literature, some possible research trends will be pointed out. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:408 / 420
页数:13
相关论文
共 143 条
[1]   Multi-dimensional dynamic facility location and fast computation at query points [J].
Abravaya, S. ;
Berend, D. .
INFORMATION PROCESSING LETTERS, 2009, 109 (08) :386-390
[2]   Incorporating uncertainty in optimal decision making: Integrating mixed integer programming and simulation to solve combinatorial problems [J].
Acar, Yavuz ;
Kadipasaoglu, Sukran N. ;
Day, Jamison M. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 56 (01) :106-112
[3]   Capacity planning and warehouse location in supply chains with uncertain demands [J].
Aghezzaf, E .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2005, 56 (04) :453-462
[4]  
Akyuz M. H., 2009, P INT MULT ENG COMP, V2
[5]  
Alanis R., 2010, MARKOV CHAIN MODEL E
[6]   The facility location problem with Bernoulli demands [J].
Albareda-Sambola, Maria ;
Fernandez, Elena ;
Saldanha-da-Gama, Francisco .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2011, 39 (03) :335-345
[7]   The multi-period incremental service facility location problem [J].
Albareda-Sambola, Maria ;
Fernandez, Elena ;
Hinojosa, Yolanda ;
Puerto, Justo .
COMPUTERS & OPERATIONS RESEARCH, 2009, 36 (05) :1356-1375
[8]   An approach for strategic supply chain planning under uncertainty based on stochastic 0-1 programming [J].
Alonso-Ayuso, A ;
Escudero, LF ;
Garín, A ;
Ortuño, MT ;
Pérez, G .
JOURNAL OF GLOBAL OPTIMIZATION, 2003, 26 (01) :97-124
[9]  
[Anonymous], 2006, IIE transactions, DOI DOI 10.1080/07408170500216480
[10]  
[Anonymous], 1998, The Quadratic Assignment Problem Theory and Algorithm