Título: | APPLICATION OF MATHEMATICAL MODELING TO OPTIMIZE ASPHALT DISTRIBUTION IN BRAZIL: A CASE STUDY | ||||||||||||
Autor: |
LEONARDO NOGUEIRA FINAMORE |
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Colaborador(es): |
FABRICIO CARLOS PINHEIRO OLIVEIRA - Orientador |
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Catalogação: | 07/ABR/2015 | 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=24397&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=24397&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.24397 | ||||||||||||
Resumo: | |||||||||||||
The demand for asphalt has been growing strongly in Brazil because of the
vigorous cycle of expansion and recovery of roadworks and new projects in roads,
ports and airports which comprises the PAC - National Growth Acceleration
Program. Given this context, the optimization of asphalt distribution is needed to
ensure the supply of the product in the country. In this context, we propose a
linear programming model that allows to evaluate alternative services for the
asphalt market, considering the minimization of operational costs involved in
delivering asphalt from the refineries to the selling locations. The proposed model
was evaluated through a case study that addressed the need of creating a new
center for delivery, in addition to the currently existing poles. Results obtained
were able to support the decision making in choosing the alternative that ensures
compliance with the country s market at the lowest cost.
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