Título: | PRODUCTION OPTIMIZATION: A CASE STUDY OF A FAMILY BUSINESS THAT PRODUCES SNACKS | ||||||||||||
Autor: |
KATHARINE DE ANGELI HONORATO |
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Colaborador(es): |
FERNANDA MARIA PEREIRA RAUPP - Orientador |
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Catalogação: | 17/FEV/2017 | Língua(s): | PORTUGUESE - BRAZIL |
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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. |
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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 |
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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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