The present study highlights the operational mining planning of iron ore with dynamic allocation of trucks in a mining complex in the State of Pará. The goal is to balance the utilization rates of logistical resources used in mining operations and transportation of iron ore, considering the increase or decrease of the number of resources in use. Initially, a literature review presents how the logistics and its performance components are associated with the iron ore production in the State of Pará, identifying uncertainties on key logistics processes, also presenting the operational mining planning with dynamic allocation of trucks and techniques of simulation and optimization individually, highlighting the best setting when considered together. This review endorses the implementation of the Simulation-Optimization phase, which occurs in a dynamic, stochastic and discrete events system. The analysis consisted in the diagnosis of the production system, the evaluation of the relationships between the logistics processes involved, the construction of a simulation model based on the collected data and optimization, verifying their outputs as the source for the scenarios to be proposed in the new simulation to evaluate the potential changes in resource utilization. The Simulation-Optimization was performed using the ProModel simulation package, which includes an optimization software based on Genetic Algorithms, the SimRunner. As a result, the Simulation-Optimization model was built to support strategic and operational decisions of the studied company, presenting satisfactory results to balance the utilization rates of all logistical resources involved in the operation.