Simulator Overview
Simulation enables you to discover the distribution of model outputs as a function of the random variation in the factors and model noise. The simulator in the profilers provides a way to set up the random inputs and run the simulations, producing an output table of simulated values.
An example of the simulator would be to model the defect rate of a process, and see how robust the defect rate is with respect to variation in the model factors. If specification limits have been set for the responses, they are carried over into the simulation output. The inclusion of specification limits allows for a prospective capability analysis of the simulated model.
In the Profiler, the Simulator is integrated into the graphical layout. ...
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