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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Fuzzy-DEA-Game model for production strategies in uncertainty

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Author(s):
ANEIRSON FRANCISCO DA SILVA [1] ; RAFAEL DE CARVALHO MIRANDA [2] ; FERNANDO AUGUSTO SILVA MARINS [3]
Total Authors: 3
Affiliation:
[1] Universidade Estadual Paulista Júlio de Mesquita Filho. Faculdade de Engenharia de Guaratinguetá - Brasil
[2] Universidade Federal de Itajubá. Programa de Pós-Graduação - Brasil
[3] Universidade Estadual Paulista Júlio de Mesquita Filho. Faculdade de Engenharia de Guaratinguetá - Brasil
Total Affiliations: 3
Document type: Journal article
Source: RAE-REVISTA DE ADMINISTRACAO DE EMPRESAS; v. 55, n. 1, p. 78-94, 2015-02-00.
Abstract

This study develops a new Fuzzy-DEA-Game (FDG) model to support the establishment of production strategies. This model combines Data Envelopment Analysis (DEA) with concepts of Fuzzy Set Theory and Nash Bargaining Game. The model permits an evaluation of the productive and economic efficiency of products, which may result in a portfolio of more profitable products with greater consumer market interest. The model was applied at an energy company. The results obtained applying the FDG model adhered to the reality of the studied company and provided goals for reducing resource levels (inputs) needed for manufacturing products and for increasing result levels (output) stemming from their commercialization. As an important additional outcome, the FDG model permitted the identification of portfolio products that are more sensitive to the occurrence of uncertainty. (AU)

FAPESP's process: 14/06374-2 - Multi-objective optimization under uncertainty in aggregate production planning and co-generation of electricity sector in plants sugarcane
Grantee:Aneirson Francisco da Silva
Support Opportunities: Regular Research Grants