The Simulation Studio Experiment window provides another option for collecting data on simulation runs. Recall from Chapter 5: Experiments, that experiments are composed of factors and responses; factors are set before running an experiment, and responses are values extracted from the model at the end of a simulation run. Another means of collecting and saving simulation data is to select Save Design from the Experiment window pop-up menu to save the experiment to a file. You can save Experiment window data as either a SAS data set or a JMP table for analysis purposes.
To systematically study the effect of specific input parameters on the simulation model output, you can create an experimental design in JMP, run the experiment in Simulation Studio, and select Analyze Results from the Experiment window pop-up menu to pass the entire contents of the Experiment window directly back to JMP for analysis. For example, you can use the simulated results to estimate a statistical model, which in turn you can use to determine optimal levels of the factors so that a particular response is maximized or minimized. See Appendix C: Design of Experiments, for details.