Name
Title | ||
|---|---|---|
Application of factorial designs for reducing factors in optimization via discrete-event simulation |
Abstract | ||
|---|---|---|
Optimization via simulation came true; most discrete-event simulation packages have some kind of optimization routines but the optimum search can become very time-consuming as the factor number increases. This paper's objectives show how factorial designs help the optimization via simulation to reach the optimum solution by reducing the 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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/WSC.2006.322983 | Winter Simulation Conference |
Keywords | Field | DocType |
comparative study,factorial design,factor number increase,discrete-event simulation package,factorial designs,paper objective,optimum solution,optimum search,optimization routine,simulation integration,brief consideration,discrete event simulation | Fractional factorial design,Manufacturing systems,Computer science,Simulation,Discrete optimization,Simulation integration,Factorial experiment,Engineering optimization,Discrete event simulation | Conference |
ISBN | Citations | PageRank |
1-4244-0501-7 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Arnaldo Barra Montevechi | 1 | 62 | 10.30 |
| Renaldo Gonzaga de Almeida Filho | 2 | 2 | 0.74 |
| André Luiz Medeiros | 3 | 2 | 0.74 |