Value-at-Risk-Based Two-Stage Fuzzy Facility Location Problems

Reducing risks in location decisions when coping with imprecise information is critical in supply chain management so as to increase competitiveness and profitability. In this paper, a two-stage fuzzy facility location problem with value-at-risk (VaR), called VaR-FFLP, is proposed, which results in...

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Vydané v:	IEEE transactions on industrial informatics Ročník 5; číslo 4; s. 465 - 482
Hlavní autori:	Shuming Wang, Watada, J., Pedrycz, W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.11.2009 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximate approach Approximation Approximation algorithms binary particle swarm optimization (BPSO) Convergence Costs facility location Fuzzy Fuzzy logic Fuzzy set theory fuzzy variable genetic algorithm (GA) Genetic algorithms Linear programming Mathematical analysis Mathematical models Operations research Particle swarm optimization Position (location) Profitability Reactive power Studies Supply chain management Supply chains tabu search (TS) Value-at-Risk (VaR)
ISSN:	1551-3203, 1941-0050
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