An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company

Rafael Paiva () and Reinaldo Morabito ()

Annals of Operations Research, 2009, vol. 169, issue 1, 117-130

Abstract: This work presents an optimization model to support decisions in the aggregate production planning of sugar and ethanol milling companies. The mixed integer programming formulation proposed is based on industrial process selection and production lot-sizing models. The aim is to help the decision makers in selecting the industrial processes used to produce sugar, ethanol and molasses, as well as in determining the quantities of sugarcane crushed, the selection of sugarcane suppliers and sugarcane transport suppliers, and the final product inventory strategy. The planning horizon is the whole sugarcane harvesting season and decisions are taken on a discrete fraction of time. A case study was developed in a Brazilian mill and the results highlight the applicability of the proposed approach. Copyright Springer Science+Business Media, LLC 2009

Keywords: Aggregate production planning; Process selection; Production lot-sizing; Mixed integer optimization; Sugar and ethanol mills (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s10479-008-0428-9

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