Use Analyze Taguchi Design (Static) to identify controllable factors in your process that can minimize response variation and make your product robust to changes in noise factors.
In a static design, you do not have a signal factor. Frequently, the goal of the experiment is to determine the settings of the control factors that allow the response to remain close to a target value with minimal variation due to changes in the noise variables. The goal may also be to make the response as large or as small as possible over a range of noise conditions. For more information, go to Taguchi designs.
Before you can analyze your data, you must use Create Taguchi Design or Define Custom Taguchi Design to enter or define your design in the worksheet. You also need to add at least one response column in your worksheet.
For example, an engineer for a golf equipment manufacturer wants to design a new golf ball that has better flight distance. The engineer has identified four control factors (core material, core diameter, number of dimples, and cover thickness) and one noise factor (type of golf club). Because there is no signal factor, the engineer creates a static Taguchi design to determine which factors minimize the effect of the golf club type on ball flight distance.
After you analyze your data, you can use Predict Taguchi Results to predict response characteristics for selected factor settings using the model from your Taguchi experiment.