A Multicriteria Decision-Making in Conditions of Uncertainty for the Ports Ore Exportation

This present work aimed at enhancing ore exports and reduce demurrage fines and costs at the port's mining company using multicriteria decision-making models and methods. The global mining supply chain encompasses multiple stages, with port production logistics being a crucial aspect. This stage involves planning the production volume allocated to vessels for transporting ore to its final destination. However, uncertainties arise during this process, including the volume produced and associated operational costs and fines. Traditionally, deterministic monocriteria models have been employed for decision-making, aiming at optimizing outcomes without considering uncertainty factors. Nevertheless, given the nature of the problem, the solution should be implemented within a multicriteria decision-making framework under conditions of uncertainty. The analysis is based on applying the General Multicriteria Decision-Making using and models to solve multicriteria problems and provide their harmonious solutions. The objective is to assist decision-makers in planning ore production shipped from mining company ports, utilizing a multicriteria system instead of a monocriteria. A case study was conducted at a Brazilian mining company exporting iron ore in their ports, comparing the current monocriteria approach with the multicriteria. The simulated results were compared with the real ports operations. The study concludes that utilizing the and models, the general multicriteria decision-making approach demonstrated effectiveness in allocating ore production at mining company ports, providing analytical and practical advantages.