Análise da eficiência do escoamento de soja produzido em Mato Grosso

• Ano de defesa: 2021
• Autor(a) principal: Maso, Anadyne Backes Dal
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Mato Grosso; Brasil; Faculdade de Economia (FE); UFMT CUC - Cuiabá; Programa de Pós-Graduação em Economia
• Palavras-chave em Português: Escoamento; Grãos; Logística; Custo - frete; CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA; Flow; Grains; Logistics; Shipping cost
• Link de acesso: http://ri.ufmt.br/handle/1/4612

The development of a structured logistics network requires knowledge of scenarios, processes and the behavior of the market to which it operates. Therefore, the general objective of this research is to analyze and identify the most efficient logistics for the flow of soybeans in the State of Mato Grosso. To achieve these goals of the study, secondary data will be used on the flow and freight costs of soybean production in the years 2013, 2018 and 2020. The estimates were made by applying a mathematical model based on the instruments associated with the origin matrices -destination, in which it used as its origin, thirty-one municipalities in Mato Grosso and as its destination, eight ports and two railway terminals. With this information, it is intended to describe and analyze the best ways to transport soybean production, aiming to minimize the total cost of transport. As main results, for Scenario 1 and 2, in which only the road modal was used, and sea ports as destination points, the optimization model highlighted, in addition to the ports located in the south and southeast region as main destinations, it also highlighted , the ports in the North region, as a destination for soybean production in the state of Mato Grosso. For Scenario 3, in which intermodality was used, the best results were obtained when compared to the other scenarios, in 2013, the total cost of transportation was reduced by 49.29%. In 2018, this cost was reduced by 50.59%, and in 2020, it represented a reduction of 49.4%. Thus, among the proposals that sought to minimize the outflow costs, the best scenario was the use of intermodality as the most economical way for the outflow of production.