About the Design of Experiments Component

Design of Experiments (DOE) is a general term that refers to any of the many formal methods available for setting parameter values in a set of experiments. In Isight, a DOE experiment is defined as an execution of the simulation process flow defined within the DOE component.

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About the DOE Results Aggregate Parameter

You can use the DOE component to:

  • Assess the impact of input parameters on output parameters.

  • Identify significant parameter interactions.

  • Analyze a design space and provide a rough estimate of an optimal design (which can then be used as a starting point for numeric optimization).

  • Create a data set that can be used to generate approximation models of the design space.

You can choose from a variety of DOE techniques when you are configuring the DOE component. For more information, see About the DOE Techniques.

Upon execution in the Runtime Gateway, Isight automatically creates a DOE Results aggregate parameter containing basic results (see About the DOE Results Aggregate Parameter).

The following figure shows the DOE Component Editor.



To start the DOE Component Editor, double-click the DOE component icon . When you have finished configuring the DOE Component Editor, click OK to close the editor. For more information about inserting components and accessing component editors, see Working with Components in the Isight User’s Guide.

You do not need to have knowledge of DOE, or extensive knowledge of the design problem, to use DOE capabilities. However, the following information is useful to know:

  • Parameters you want to study (i.e., the input parameters that may impact performance/quality).

  • Number of experiments or trials you can afford to run.

  • Output quantities of interest (i.e., those that in some way represent the performance/quality of the product).

  • Overall goal of the study (e.g., estimation of an optimal design, response surface approximation, etc.).