Simulation model applied to transportation missions in the amazon region

Abstract

The Amazon region represents a major air logistical challenge for the Brazilian Air Force (FAB), as the maintenance of the main Special Border Platoons (PEFs) demands the constant accomplishment of missions to transport people and cargo in remote areas. In this context, the article proposes a simulation model that allows the optimization of the use of FAB’s resources through a more efficient planning of the air routes. Samples of the last performed flights were used to elaborate the statistical modeling of the problem and validation of the simulation model, providing a more realistic approach of the analyzed complex system. The proposed simulation model consists of stochastic modeling of the loading and unloading processes at the airfield of São Gabriel da Cachoeira (SBUA) and at the PEFs of the upper Rio Negro region. As a case study, the impacts of the reduction of the loading time at SBUA on the execution of the air mission were analyzed. This simulation model can be applied in the operational context of the air missions performed by FAB and provide a robust methodology for planning regional air missions.