Navy Personnel Assignment Aid using Coppe-Cosenza Model and Hungarian Algorithm

The effective allocation of personnel avoids the waste of resources and enables the organization to achieve the maximum possible results. In this work, we present a decision aid for Navy personnel allocation based on the Coppe-Cosenza Model and the Hungarian Algorithm. We implemented the model in R, using existing packages, and can be operated by non-experts. The proposed model extends the potentialities of the Coppe-Cosenza Model, presenting an optimal cost solution and presenting a feasible transformation to use the aggregation matrix as a basis for a loss/cost function. Finally, we build a feasible and meaningful integration of both techniques to adapt them to the problem domain peculiarities. Since the optimization algorithm is polynomial, the model can be used for considerable large problems.