The DOE Toolkit is a powerful add-on for Mathematica that helps you generate experimental designs within a Wolfram Notebook. With built-in support for a wide range of methodologies—including full and fractional factorial screening designs, response surface approaches like central composite and Box–Behnken, as well as mixture and orthogonal designs—you can quickly generate exactly the experimental framework you need. Each design is returned as a Mathematica Dataset object, giving you immediate access to the full capabilities of Mathematica’s data handling and analysis tools so you can seamlessly explore, refine and extract insights from your experiments all in one place.

You can augment any design by randomizing, replicating and/or blocking. You can also add central points as well as axial points.

After your design has been generated, you can control the way in which factor levels are displayed in the standard forms: as values or as factor level indices or as plus, minus, zero. Unique to the DOE Toolkit, you can also assign labels and colors to factor levels, which are then used to display the factor levels in your generated design.

The DOE Toolkit includes an Optimizer tool, which allows you to find an optimal subset of runs based on your design.

Once you have generated your design and recorded your experimental results, the DOE Toolkit provides a Desirability Manipulator tool that lets you visually explore the effects of changing factor settings in your model.

A demo version of the DOE Toolkit add-on is available at the Harper Corditt Software website.