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Estatística
Título: PRODUCTION OPTIMIZATION: A CASE STUDY OF A FAMILY BUSINESS THAT PRODUCES SNACKS
Autor: KATHARINE DE ANGELI HONORATO
Colaborador(es): FERNANDA MARIA PEREIRA RAUPP - Orientador
Catalogação: 17/FEV/2017 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=29186&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=29186&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.29186
Resumo:
The current scenario of the Brazilian market is composed mainly of micro and small enterprises that grow every year, but have low survival rate compared to other countries. Once these businesses contribute greatly to the country s GDP, ensuring the survival of this group is of paramount importance to the Brazilian economy. In this work, a mathematical model was developed to optimize the production of a micro producer of snacks. Through the model, the quantities of inputs to be purchased from suppliers and the quantities of intermediate and final items to be produced in each period of the planning horizon are determined, in order to meet demand at a lower total costs. For this, a survey was conducted on the characteristics of the production of the studied micro company and it was observed that one of the reasons that prevent them from being competitive is the lack of knowledge and application of tools for planning and control of production. To evaluate the performance of the developed model tests were carried out with real data, and the results of different scenarios for the demand show that the model can be useful to support decisions on lot sizing of purchasing and production, showing that the obtained optimal costs are less than the costs obtained by the company without the use of optimization.
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