About the Design of Experiments Adapter

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 Optimization Process Composer, a DOE experiment is defined as an execution of the simulation process defined within the DOE adapter.

You can use the DOE adapter 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 adapter. For more information, see About the DOE Techniques.

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

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

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

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

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