Modelo matemático para determinação do volume exportado de soja do Estado de Mato Grosso pelos principais portos brasileiros

Abstract

In this study, the need to reduce the costs of transporting soybeans produced in Mato Grosso to Brazilian ports is addressed, aiming to improve the efficiency of the agricultural supply chain. A linear transportation programming model was developed, encompassing the determination of the hub cities, the survey of transportation costs, the mathematical model and the search for the optimal solution. Two scenarios were explored: road-only transport and multimodal transport. The results indicate that the multimodal scenario totaled R$ 6,502,401.71 billion, while the road scenario reached R$ 8,435,163.16 billion. The adoption of multimodal transport generated significant savings of R$ 1,932,761.45 billion, highlighting its effectiveness in optimizing costs and logistics efficiency. These results provide valuable insights for the strategic planning of the Brazilian agricultural sector, contributing to improving supply chain management and increasing its global competitiveness.