Um modelo baseado em seleção de processos e dimensionamento de lotes para o planejamento agregado da produção em usinas de açúcar e álcool.

• Ano de defesa: 2006
• Autor(a) principal: Paiva, Rafael Piatti Oiticica de
• Orientador(a): Morabito Neto, Reinaldo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção - PPGEP
• País: BR
• Palavras-chave em Português: Planejamento da produção; Seleção de processos; Agroindústria sucroalcooleira; Dimensionamento de lotes; Programação interia mista
• Palavras-chave em Inglês: Aggregate production planning; Process selection; Production lot-sizing; Mixed integer linear optimization; Sugar and alcohol mills
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/3815

The main concern of this work is related with the development of an aggregate production planning model of a sugar and alcohol milling company. This mathematical model is based on the process selection model and the production lotsizing model, and aims to help the decision makers in the production planning and control process of determining the quantity of sugarcane crushed, the selection of sugarcane suppliers, the selection of sugarcane transport system suppliers, the selection of industrial process used in the sugar, alcohol and molasses production and the storage decisions related with this final products. The decisions are taken in a week bases and the planning horizon is the whole sugarcane harvesting season. To solve the mixed integer mathematical problem found in this modeling, we applied the GAMS modeling language and the CPLEX solver. A case study was developed in a sugar and alcohol milling company located in Rio Largo, state of Alagoas, Brazil. The results of this case study helped us to verify the applicability of the proposed model in the aggregate production planning of a milling company. Computational results are presented for some scenarios of one illustrative example and some scenarios in a real data application.