Modelo matemático para definição de centrais de transbordo para logística reversa de resíduos sólidos gerados em terminais marítimos do Rio de Janeiro
Ano de defesa: | 2015 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal do Espírito Santo
BR Mestrado em Engenharia Civil Centro Tecnológico UFES Programa de Pós-Graduação em Engenharia Civil |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://repositorio.ufes.br/handle/10/3991 |
Resumo: | Brazil has a port sector with 37 public ports which moved in 2013, 338.3 million tons of bulk cargo, representing a relative increase of 6.8% compared to the previous year. These ports generate waste, in terms of their operations and the adequate management of these is indispensable to adapt to the new regulatory mark imposed by the National Solid Waste Policy (PNRS). Thus, the main objective of this work was to develop a mathematical model based on the location problem of n-echelon facilities for defining transshipment stations to be allocated for better configuration of reverse logistics network of solid waste generated in maritime terminals. The proposed model differs from the others because it has a wider objective function relative to the analysis of costs and revenues, also an additional index for the specific type of waste that will be allocated to the transshipment stations and will be sent to the recycling companies and landfills. In addition, model segregates in different trucks the waste according to its danger and allows the selection of capacity truck that will be used in reverse logistics network. Nine marine terminals were selected from Rio de Janeiro to elaborate different scenarios, based on actual data, which were executed in 12.6 CPLEX solver. The results showed a high percentage for participation of transport costs, between 63.0% and 80.0%, of all other costs involved in the development of reverse logistics network; the higher return proved when smaller trucks were used instead to trucks with large capacity. For all scenarios, the obtained financial result came in at more revenue than the value of costs, demonstrating that the sale of waste for recycling may be a viable alternative from the economic perspective, not just from legal environmental and social viewpoints. |