Evaluation of a proposed optimization method for discrete-event simulation models

Pesquisa Operacional

Alexandre Ferreira De Pinho¹  José Arnaldo Barra Montevechi¹  Fernando Augusto Silva Marins¹  Rafael Florêncio Da Silva Costa¹  Rafael De Carvalho Miranda¹  Jonathan Daniel Friend¹ 

[1] ,UNIFEI - Universidade Federal de Itajubá IEPG - Instituto de Engenharia de Produção e Gestão Itajubá MG ,Brazil

关键词: metaheuristics;    simulation optimization;    discrete-event simulation;   

DOI  :  10.1590/S0101-74382012005000021

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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