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.

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.

The following figure shows the DOE Component WebTop Editor.



To view the details of the DOE component, access the model containing the component, select the DOE component whose information you want to view using the navigation area on the left side of the interface, and click the Formulation tab.

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.).