  During the past sixty years, a lot of effort has been made regarding the
productive efficiency. Such endeavours provided an extensive bibliography on
this subject, culminating in two main methods, named the Stochastic Frontier
Analysis (parametric) and Data Envelopment Analysis (non-parametric). The
literature states this methodology also as the benchmark approach, since the
techniques compare the sample upon a chosen `more-efficient' reference. This
article intends to disrupt such premise, suggesting a mathematical model that
relies on the optimal input combination, provided by a differential equation
system instead of an observable sample. A numerical example is given,
illustrating the application of our model's features.
