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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 450367, 15 pages
Research Article

A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC

1Federal University of Itajubá (UNIFEI), Avenida BPS 1303, Caixa Postal 50, 37500-903 Itajubá, MG, Brazil
2Sao Paulo State University (UNESP), Avenida Dr. Ariberto Pereira da Cunha 333, 12516-410 Guaratinguetá, SP, Brazil

Received 30 January 2014; Revised 14 April 2014; Accepted 17 April 2014; Published 19 May 2014

Academic Editor: Massimo Scalia

Copyright © 2014 Rafael de Carvalho Miranda et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The development of discrete-event simulation software was one of the most successful interfaces in operational research with computation. As a result, research has been focused on the development of new methods and algorithms with the purpose of increasing simulation optimization efficiency and reliability. This study aims to define optimum variation intervals for each decision variable through a proposed approach which combines the data envelopment analysis with the Fuzzy logic (Fuzzy-DEA-BCC), seeking to improve the decision-making units’ distinction in the face of uncertainty. In this study, Taguchi’s orthogonal arrays were used to generate the necessary quantity of DMUs, and the output variables were generated by the simulation. Two study objects were utilized as examples of mono- and multiobjective problems. Results confirmed the reliability and applicability of the proposed method, as it enabled a significant reduction in search space and computational demand when compared to conventional simulation optimization techniques.