Please use this identifier to cite or link to this item:
Title: Competitive facility location on decentralized supply chains
Authors: Meng, Q. 
Huang, Y.
Cheu, R.L. 
Keywords: Competitive facility location
Mathematical program with equilibrium constraints
Network equilibrium
Supply chain management
Variational inequalities
Issue Date: 16-Jul-2009
Source: Meng, Q., Huang, Y., Cheu, R.L. (2009-07-16). Competitive facility location on decentralized supply chains. European Journal of Operational Research 196 (2) : 487-499. ScholarBank@NUS Repository.
Abstract: This paper addresses a novel competitive facility location problem about a firm that intends to enter an existing decentralized supply chain comprised of three tiers of players with competition: manufacturers, retailers and consumers. It first proposes a variational inequality for the supply chain network equilibrium model with production capacity constraints, and then employs the logarithmic-quadratic proximal prediction-correction method as a solution algorithm. Based on this model, this paper develops a generic mathematical program with equilibrium constraints for the competitive facility location problem, which can simultaneously determine facility locations of the entering firm and the production levels of these facilities so as to optimize an objective. Subsequently, a hybrid genetic algorithm that incorporates with the logarithmic-quadratic proximal prediction-correction method is developed for solving the proposed mathematical program with an equilibrium constraint. Finally, this paper carries out some numerical examples to evaluate proposed models and solution algorithms. © 2008 Elsevier B.V. All rights reserved.
Source Title: European Journal of Operational Research
ISSN: 03772217
DOI: 10.1016/j.ejor.2008.03.030
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Mar 5, 2018


checked on Mar 5, 2018

Page view(s)

checked on Feb 25, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.