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The value of statistically based experimental designs (the matrix of runs generated by specific combinations of input values) has been well established . The DOE/Opt system strongly encourages the use of designed simulation experiments where the input parameters are varied in a carefully structured pattern so as to maximize the information that can be extracted from the resulting simulations. In our work, we have achieved tight integration between specification of models (via blocks), generation of experimental designs, automatic execution of those designs, and generation of response surface models from execution results.