Neuro-Fuzzy System for the Evaluation of Soya Production and Demand in Brazilian Ports

Abstract

Brazil and the United States account for approximately two thirds of the world soybean production. In 2018, the Brazilian soybean crop was approximately 117 million tons, more than half of which was exported. The Port of Santos is the largest shipper of soybeans, followed by the Port of Paranaguá. The supply chain involves factors that are difficult to measure, resulting in chaotic and nonlinear activities. Thus, we propose to analyze the relationship between supply (production) and demand (export) using artificial intelligence techniques in a hybrid model called neuro-fuzzy. Data from 20 years of soybean production and exportation were used in the Matlab©R2017b software. The results indicate that the supply tends to be low when the demands of the ports are overloaded, that is, the ports act in a synergistic and balanced manner.