2006
DOI: 10.1016/j.rcim.2005.11.002
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A multi-objective approach to facility layout problem by genetic search algorithm and Electre method

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Cited by 131 publications
(67 citation statements)
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“…Some have considered more objectives, which are combined into a single objective by means of the Analytic Hierarchy Process [17] methodology or linear combination of multiple objectives [18]. Others maintain multiple functions for different objectives, using the Pareto approach to generate a set of non-dominated solutions [19].…”
Section: A Problem Formulationmentioning
confidence: 99%
“…Some have considered more objectives, which are combined into a single objective by means of the Analytic Hierarchy Process [17] methodology or linear combination of multiple objectives [18]. Others maintain multiple functions for different objectives, using the Pareto approach to generate a set of non-dominated solutions [19].…”
Section: A Problem Formulationmentioning
confidence: 99%
“…Classical approaches to layout designing problems tend to maximize the efficiency of layouts measured by the handling cost related to the interdepartmental flow and the distance among the departments. However, the actual problem involves several conflicting objectives hence requires a multi-objective formulation (Aiello et al, 2006). The common objectives to layout designing are *Corresponding author.…”
Section: Introductionmentioning
confidence: 99%
“…Setting the parameter α has been studied by Meller and Gau (1997). Aiello et al (2006) represented a two-stage multiobjective flexible-bay layout. Genetic Algorithm (GA) was used to find Pareto-optimal in the first stage and the selection of an optimal solution was carried out by Electre method in the second stage.…”
Section: Introductionmentioning
confidence: 99%
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“… Planos de corte. Esta metodología se emplea en la resolución de problemas MILP (programación lineal entera mixta), y fue introducida por (Aiello, Enea y Galante 2006), aunque no sería empleado en el ámbito de la distribución en planta hasta algo después. En un problema de optimización lineal con un conjunto elevado de restricciones, el procedimiento consiste en calcular la solución óptima con un conjunto reducido de restricciones.…”
Section: Métodos Exactos (óPtimos)unclassified