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ETDs @PUC-Rio
Estatística
Título: THE INFLUENCE OF TAX PLANNING IN THE DISTRIBUTION NETWORK DESIGN AND LOCATION OF DISTRIBUTION CENTERS
Autor: DANIEL PRADO DO ESPÍRITO SANTO
Colaborador(es): HUGO MIGUEL VARELA REPOLHO - Orientador
Catalogação: 14/JUL/2016 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=26871&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=26871&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.26871
Resumo:
Including tax management in supply chain planning is a profitable differentiating factor, especially in Brazil, where each State exhibits its own tax policy. Some studies have been conducted taking into account the tax issues in the logistics network design, however this thesis takes into account the tax incentives offered by some Brazilian states to attract business. To assess the impact of tax incentives in the distribution network design, it proposed a model for locating distribution centers based on Mixed Integer Linear Programming (MILP) that includes parameters and factors related to the restrictions and opportunities created by Brazilian tax policies. The model is applied to a Brazilian company that sells chemical products. This company is installed in a location away from the end point of delivery of the products due to insertion into a tax incentive program, without adopting any location model for evaluating the strategy. The goal is to determine the actual advantages of a reduction in tax rates offset an increase in logistics transportation costs. The solution determined whether the construction of a new distribution center is beneficial, if the results generated by the model had lower total costs for the new network design compared to the current network.
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