Evaluation of a proposed optimization method for discrete-event simulation models
Optimization methods combined with computer-based simulation have been utilized in a wide range of manufacturing applications. However, in terms of current technology, these methods exhibit low performance levels which are only able to manipulate a single decision variable at a time. Thus, the objec...
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2012-12-01
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doaj-3e8627d1301343c0baabb8c61fb4f9342020-11-24T22:49:19ZengSociedade Brasileira de Pesquisa OperacionalPesquisa Operacional1678-51422012-12-0132354356010.1590/S0101-74382012000300004S0101-74382012000300004Evaluation of a proposed optimization method for discrete-event simulation modelsAlexandre Ferreira de Pinho0José Arnaldo Barra Montevechi1Fernando Augusto Silva Marins2Rafael Florêncio da Silva Costa3Rafael de Carvalho Miranda4Jonathan Daniel Friend5Universidade Federal de ItajubáUniversidade Federal de ItajubáUniversidade Federal de ItajubáUniversidade Federal de ItajubáUniversidade Federal de ItajubáUniversidade Federal de ItajubáOptimization methods combined with computer-based simulation have been utilized in a wide range of manufacturing applications. However, in terms of current technology, these methods exhibit low performance levels which are only able to manipulate a single decision variable at a time. Thus, the objective of this article is to evaluate a proposed optimization method for discrete-event simulation models based on genetic algorithms which exhibits more efficiency in relation to computational time when compared to software packages on the market. It should be emphasized that the variable's response quality will not be altered; that is, the proposed method will maintain the solutions' effectiveness. Thus, the study draws a comparison between the proposed method and that of a simulation instrument already available on the market and has been examined in academic literature. Conclusions are presented, confirming the proposed optimization method's efficiency.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000300004&lng=en&tlng=enmetaheuristicssimulation optimizationdiscrete-event simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alexandre Ferreira de Pinho José Arnaldo Barra Montevechi Fernando Augusto Silva Marins Rafael Florêncio da Silva Costa Rafael de Carvalho Miranda Jonathan Daniel Friend |
spellingShingle |
Alexandre Ferreira de Pinho José Arnaldo Barra Montevechi Fernando Augusto Silva Marins Rafael Florêncio da Silva Costa Rafael de Carvalho Miranda Jonathan Daniel Friend Evaluation of a proposed optimization method for discrete-event simulation models Pesquisa Operacional metaheuristics simulation optimization discrete-event simulation |
author_facet |
Alexandre Ferreira de Pinho José Arnaldo Barra Montevechi Fernando Augusto Silva Marins Rafael Florêncio da Silva Costa Rafael de Carvalho Miranda Jonathan Daniel Friend |
author_sort |
Alexandre Ferreira de Pinho |
title |
Evaluation of a proposed optimization method for discrete-event simulation models |
title_short |
Evaluation of a proposed optimization method for discrete-event simulation models |
title_full |
Evaluation of a proposed optimization method for discrete-event simulation models |
title_fullStr |
Evaluation of a proposed optimization method for discrete-event simulation models |
title_full_unstemmed |
Evaluation of a proposed optimization method for discrete-event simulation models |
title_sort |
evaluation of a proposed optimization method for discrete-event simulation models |
publisher |
Sociedade Brasileira de Pesquisa Operacional |
series |
Pesquisa Operacional |
issn |
1678-5142 |
publishDate |
2012-12-01 |
description |
Optimization methods combined with computer-based simulation have been utilized in a wide range of manufacturing applications. However, in terms of current technology, these methods exhibit low performance levels which are only able to manipulate a single decision variable at a time. Thus, the objective of this article is to evaluate a proposed optimization method for discrete-event simulation models based on genetic algorithms which exhibits more efficiency in relation to computational time when compared to software packages on the market. It should be emphasized that the variable's response quality will not be altered; that is, the proposed method will maintain the solutions' effectiveness. Thus, the study draws a comparison between the proposed method and that of a simulation instrument already available on the market and has been examined in academic literature. Conclusions are presented, confirming the proposed optimization method's efficiency. |
topic |
metaheuristics simulation optimization discrete-event simulation |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000300004&lng=en&tlng=en |
work_keys_str_mv |
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