A new approach to reducing search space and increasing efficiency in simulation optimization problems via the fuzzy-DEA-BCC
type: Item
instance of: scholarly article
title: A new approach to reducing search space and increasing efficiency in simulation optimization problems via the fuzzy-DEA-BCC
zbMATH Open document ID: 1407.90382
DOI: 10.1155/2014/450367
author: Rafael de Carvalho Miranda
author: José Arnaldo Barra Montevechi
author: Aneirson Francisco da Silva
author: Fernando Augusto Silva Marins
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90C08
zbMATH DE Number: 7016460
Wikidata QID: Q59067278
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/450367
OpenAlex ID: W2053510911
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description: scientific article; zbMATH DE number 7016460