Dimensionamento e sequenciamento de lotes no segmento de eletrodomésticos de linha branca

• Ano de defesa: 2019
• Autor(a) principal: Bergamini, Fernanda Paula
• Orientador(a): Munari Junior, Pedro Augusto
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção - PPGEP
• Palavras-chave em Português: Pesquisa Operacional; Dimensionamento de lotes; Sequenciamento de lotes; Planejamento e Controle de Produção; Programação da produção; Linha branca
• Palavras-chave em Inglês: Operations Research; Lot sizing; Planning and production control; Scheduling production; White goods lines
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE EMPRESAS::ADMINISTRACAO DA PRODUCAO; ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO; ENGENHARIAS::ENGENHARIA DE PRODUCAO::PESQUISA OPERACIONAL
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/11580

In this work we address the optimization of the production of household appliances in a white line segment. The main characteristics of this production process are maximum number of lot breaks per time period; production lines in parallel and with different speeds that vary according to the type of product; the multiple capabilities with multiple product models; and capacity constraints in the manufacturing process and availability of productive hours. Such characteristics are motivated by the real case of a company that operates in the white line segment. We investigate new optimization models to represent the problem of sizing and sequencing of production batches for the white line segment, in order to minimize the processing time of the production and reduce the amount of batch fractionation in production, meeting the demand request. The decisions are treated independently, due to the complexity of the actual situation studied. The results of computational tests with instances based on actual data show that the proposed optimization approaches, both for the production batch sizing and for the sequencing of these batches, presented good solutions for the case under study. In the experiments carried out, it was possible to reduce the processing time of the production, which was the main objective, besides the opportunity to gain productivity with the implementation of the models proposed. It should be noted that the motivation for this work arose from a difficulty of the company to meet the scheduled delivery. To solve this difficulty, the executive board decided to create a collaboration between the factory and the university to find an adequate solution strategy. Thus, this work also allows the reduction of the gap between theory and practice through a real case study, contributing to the approximation between academia and industry.