OptQuest enhances the analysis capabilities of Arena by allowing you to search for
optimal solutions within your simulation models. Many simulation models are embedded
in the broader context of a decision problem, where the ultimate goal is to determine the
best values for a set of controls. For example, you might be interested in having a model
help you select a staffing configuration that optimizes some performance objective. One
of the limitations of simulation models in general is that they basically act as “black
boxes”—they can only evaluate the model for the controls that you’ve specified. Thus, to
use a simulation model for evaluating the performance of a process, you must first select
the specific staffing levels and then run a simulation to forecast the performance of that
particular configuration.