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Master's Dissertation
DOI
10.11606/D.3.2017.tde-17072017-160658
Document
Author
Full name
Thiago Guilherme Pera
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2017
Supervisor
Committee
Branco, José Eduardo Holler (President)
Gameiro, Augusto Hauber
Xavier, Carlos Eduardo Osório
Title in Portuguese
Modelagem das perdas na agrologística de grãos no Brasil: uma aplicação de programação matemática.
Keywords in Portuguese
Logística
Milho
Programação matemática
Soja
Transporte de carga
Abstract in Portuguese
A redução das perdas é de grande importância para estabilizar a oferta de alimentos ao longo da cadeia de suprimentos e fortalecer a segurança alimentar. O objetivo geral desta pesquisa foi realizar um diagnóstico detalhado sobre as perdas que ocorrem nas diversas atividades logísticas de soja e milho no Brasil, envolvendo a quantificação das perdas físicas, econômicas e ambientais acumuladas na cadeia de suprimentos de tais grãos e a identificação de estratégias e políticas públicas para mitiga-las, através da modelagem de programação matemática. Além disso, foi possível estruturar uma função de perdas na agrologística de grãos a partir de quatro variáveis: tipo de armazenagem, qualidade das vias rodoviárias, modalidade de transporte e canal de comercialização. As perdas totais na cadeia de suprimentos de soja e milho no ano de 2015 no Brasil atingiram o patamar de 2,381 milhões de toneladas, ou seja, algo em torno de 1,303% da produção, incorrendo em perdas econômicas decorrentes do custo de oportunidade com vendas perdidas e de gastos logísticos desnecessários na ordem de R$ 2,04 bilhões (US$ 610,78 milhões). Os cenários avaliados demonstram que a ampliação no uso da armazenagem dentro da fazenda, melhoria nas condições das rodovias brasileiras e das estradas que conectam as fazendas aos armazéns apresentam grande potencial para mitigação das perdas. Apesar da perda relativa de uma atividade logística assumir valor decimal, a perda acumulada ao longo da cadeia de suprimentos assume um valor global bastante considerável. Esse retrato enfatiza a necessidade de conscientização sobre as perdas visando fomentar políticas públicas e gestões eficientes para mitiga-las, dado as externalidades econômicas, ambientais e sociais geradas.
Title in English
Modeling of the losses in grains' agro-logistics in Brazil: an application of mathematical programming
Keywords in English
Food security
Grains
Logistics
Losses
Maize
Mathematical model
Post-harvest losses
Soybean
Storage
Supply chain
Transportation
Abstract in English
Reducing losses is of great importance in stabilizing the supply of food throughout the supply chain and strengthening food security. The general objective of this research was to perform a detailed diagnosis of the losses that occur in the many logistic activities of soybeans and maize in Brazil, involving the quantification of accumulated physical, economic and environmental losses in the supply chain of such grains and the identification of strategies and public policies to mitigate such losses through mathematical programming modeling. Besides, it was possible to structure a loss function of grains' agrologistics in terms of four variables: type of storage, quality of roads, modality of transportation and marketing channel. Total losses in the soy and maize supply chain in 2015 in Brazil reached up to 2.381 million tons, or about 1.303% of production, incurring economic reductions due to the cost of loss (reduced sales and unnecessary logistical expenses for the handling of losses) in the order of R$ 2.04 billion (US$ 610.78 million). The evaluated scenarios show that the increase in the use of on-farm storage, the improvement in the conditions of the Brazilian highways and roads that connect the farms to the external warehouses present great potential to mitigate the losses. In spite the relative loss of a logistic activity takes on decimal value, the cumulative loss along the supply chain assumes a fairly considerable overall value. This reality emphasizes the need to raise awareness about losses in order to foster public policies and efficient management to mitigate them, given the created economic, environmental and social externalities.
 
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Publishing Date
2017-07-18
 
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