A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill
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Data
2014-09-01
Autores
Silva, Aneirson Francisco da [UNESP]
Silva Marins, Fernando Augusto [UNESP]
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Editor
Elsevier B.V.
Resumo
This paper proposes a Fuzzy Goal Programming model (FGP) for a real aggregate production-planning problem. To do so, an application was made in a Brazilian Sugar and Ethanol Milling Company. The FGP Model depicts the comprehensive production process of sugar, ethanol, molasses and derivatives, and considers the uncertainties involved in ethanol and sugar production. Decision-makings, related to the agricultural and logistics phases, were considered on a weekly-basis planning horizon to include the whole harvesting season and the periods between harvests. The research has provided interesting results about decisions in the agricultural stages of cutting, loading and transportation to sugarcane suppliers and, especially, in milling decisions, whose choice of production process includes storage and logistics distribution. (C)2014 Elsevier B.V. All rights reserved.
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Palavras-chave
Aggregate production planning, Goal Programming, Fuzzy Goal Programming, Sugar and ethanol mills
Como citar
Energy Economics. Amsterdam: Elsevier Science Bv, v. 45, p. 196-204, 2014.