By Topic

Application of Factorial Designs for Reducing Factors in Optimization Via Discrete-Event Simulation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jose Arnaldo Barra Montevechi ; Instituto de Engenharia de Produção e Gestão, Universidade Federal de Itajubá, Avenida BPS, 1303 - Caixa Postal: 50, Itajubá, MG, 37500-903, BRASIL. e-mail montevechi@unifei.edu.br ; Renaldo Gonzaga De Almeida Filho ; Andre Luiz Medeiros

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

Published in:

Proceedings of the 2006 Winter Simulation Conference

Date of Conference:

3-6 Dec. 2006