A mathematical model to minimize the costs of grain distribution in a CO-OP

Abstract

Food Supply Chain Management (CSA) is a major challenge for companies in the sector, particularly due to global context in which food production is located. The optimization of the performance of CSAs involves decisions on transport, storage and production to meet the expected demands. The latter may be found in the literature by Operational Research (PO) techniques. Current paper proposes an optimization model for the supply chain of a grain agroindustrial cooperative, aiming at minimizing total transportation and storage costs and meeting the plant's demands. Modeling was executed with Mixed Whole Linear Programming (PLIM) and solved by Gurobi 9.0. Data from the cooperative were collected and the solutions revealed a 1.1% decrease in the co-op's total costs.