Introduction to the art and science of simulation
Proceedings of the 30th conference on Winter simulation
Simulation of manufacturing systems
Proceedings of the 30th conference on Winter simulation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation Using Promodel
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Design and Analysis of Experiments
Design and Analysis of Experiments
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Optimization via simulation came true; most discrete-event simulation packages have some kind of optimization routines but the optimum search can become very timeconsuming as the factor number increases. This paper objectives show how Factorial Designs help the optimization via simulation to reach the optimum solution by reducing number of factors. A comparative study between an optimization without planning and an optimization planned based on Factorial Designs is carried out. Results are presented where the reduction of the number of runs needed to find the optimum is showed. This work concludes with brief considerations on the Factorial Designs and optimization via simulation integration.