Geoprocessamento aplicado ao estudo de roteirização do transporte canavieiro

• Ano de defesa: 2015
• Autor(a) principal: Moreira, Alisson Neves Harmyans
• Orientador(a): Griebeler, Nori Paulo
• Banca de defesa: Griebeler, Nori Paulo, Almeida, Rogério de Araújo, Reis, Elton Fialho dos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Agronomia (EAEA)
• Departamento: Escola de Agronomia e Engenharia de Alimentos - EAEA (RG)
• País: Brasil
• Palavras-chave em Português: Logística de transporte; Estradas rurais; SIG
• Palavras-chave em Inglês: Transportation logistics; Rural roads; GIS
• Área do conhecimento CNPq: AGRONOMIA::CIENCIA DO SOLO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/4527

To ensure the grinding of cane sugar is necessary for the stages of harvest or CCT logistics (Cut, loading and transportation) are efficient, being in constant operation and interaction, as in harvest period, the plants work uninterruptedly. Any delay in delivery will result in production losses and hence increased cost. Estimates suggest that only the CCT is responsible for 30% of the cost of production and 12% are represented by the transport. The sugarcane transport involves several types of costs, including the cost of freight and variable costs (fuel consumption, maintenance and tire wear). Shortest paths are commonly chosen as the best route option, however, some variables such as the types of roads (quality) and fleet (individuals or third parties) are not considered in decision making. Routes measurements are obtained from rudimentary way or are neglected, not being employed methods that demonstrate specific information path. In this work, elaborated a Geographic Information System (GIS) for routing the sugarcane transportation. For construction of the road network database, we used an orbital OLI scene image sensor on board the Landsat 8. To this end, we generated a color composite with the bands 6, 5 and 4 (RGB654), and performed fusion and filtering to enable observation and vectorization of roads and carriers. After the generated file, the vectors were submitted to the Arc-node model, dividing them into segments. Then, the GIS was fed attributes collected in the field and data reported in the literature in order to network classification concerning slope and operational performance, being created impedances and restrictions on the roads, in order that the routing simulated of interest to reliable information. The scenarios were organized based on two criteria: operational performance and is less. It was observed that 96% of the roads have steepness less than 5%, favoring the cultivation and transportation of cane sugar. Moreover, 94% of the roads are classified as tertiary. Despite the higher index roads with low quality, the spatial arrangement of the primary and secondary roads provided that the results were not among the conflicting criteria and in most pathways, the best operating performance criterion time was shorter compared to the shortest distance. Still, it was found that the analyzed transport costs did not differ significantly and traffic on roads with better quality can reduce cost Repair and Maintenance (CRM) significantly. Thus, the study showed that there are two aspects in choosing the best route and that this choice is related to the company's variables.