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Besides, an optimal found may satisfy the restrictions and requirements of the objective function. Still, it can be in a neighborhood, very close to the “non-feasible”, where a slight variation of the inputs or a small change in the external variables (from uncertainty itself) can lead to a drop in value, placing it in a very fragile position.

The Monte Carlo Simulation function is available to model the uncertainty of the external variables. This function allows us to include statistical distributions of the inputs. As a result, we can have a better understanding of the behavior of the distribution of the results for each configuration, which in turn enables us to detect the robustness and reliability of the plans to choose.