Artigo
A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill
Registro en:
Energy Economics. Amsterdam: Elsevier Science Bv, v. 45, p. 196-204, 2014.
0140-9883
10.1016/j.eneco.2014.07.005
WOS:000343613500017
9008186664173955
Autor
Silva, Aneirson Francisco da [UNESP]
Silva Marins, Fernando Augusto [UNESP]
Resumen
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. Sao Paulo State Univ, Dept Prod, BR-12516410 Guaratingueta, SP, Brazil Sao Paulo State Univ, Dept Prod, BR-12516410 Guaratingueta, SP, Brazil