Defining a Simulation Model

Building a simulation model using the RASON modeling language is much like building an optimization model. As we learned in the previous topic, in an optimization model, our RASON model contains components such as variables, data, constraints and objective. In a simulation model, our RASON model will contain components such as data, uncertainVariables and uncertainFunctions. You will use Psi Distribution functions to model the uncertainty as inputs and identify the outputs of special interest (such as Net Profit) to examine or summarize how they behave in light of the uncertainty.