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World demand for iron ore and steel industries are extremely high in the very beginning of the 21st century, and the analysts are foreseeing that it will last for a long period. Likewise the commodities in general, the prices of iron ore have been increasing considerably, mainly because of the disarticulation through this industry supply chain. Considering the systemic aspects of this particular market, the decisions to invest in upstream capacities to supply the demand is very complex and risky. The complexity is related with assets intensiveness, competitor’s movements, time between decision to implant a project and startup, and the demand-price ups and downs cycles. The companies that make the right strategic decisions, at the right time, are the ones that will succeed in this competitive and global market. The objective of this dissertation is to develop a methodology, using simulationoptimization techniques that support strategic investments decisions. In the research part of this dissertation, a sort of concepts and techniques of simulation, heuristics and optimization were explored and it was possible to identify an opportunity to explore the potential integration of techniques. In particular, this dissertation aims to clarify that this techniques may be complementary, and the success if very much related with the correct approach to combine them considering the particularities of the studied problem. The results have shown that the proposed method clarify that the right combination of techniques, in this case, simulation-optimization, is produces better results and individual application of each one of them. The method was applied at Samarco in its business planning process, and it has been useful to support better investments decisions. Key-words: Simulation. Optimization. Iron Ore.

Aplicação de um método de simulação-otimização na cadeia produtiva de minérios de ferro.