Three strategies for the definition of manufacturing cells Layout using genetic algorithms

Published 2016-05-11
Artículos científicos

Abstract

ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA

 This article presents three strategies to address the solution to the problem of definition of plant distribution or the layout of manufacturing cells using genetic algorithms: the first strategy is the independent solution to the formation of cells and layout; the second one is the solution in its multiobjective manner using the algorithm NSGA2; and finally the simultaneous solution in which the formation of cells and the definition of the layout that is solved with a single-objective genetic algorithm as was done in the first strategy are grouped into a single objective function. The results showed that the second strategy facilitates the designer’s work because it gives a broad view of the possible solutions, however, the other two strategies have interesting advantages that can be applied in specific cases with limited resources.

Authors

  • Camilo Mejía

  • Rubén Dorado

  • Luis Cobo

References

Statistics

Abstract
0
PDF accesses
0

Dimensions

PlumX


Downloads

Download data is not yet available.