The columns of the arrays are balanced and orthogonal. This means that in each pair of columns, all factor combinations occur the same number of times. Orthogonal designs let you estimate …

Complete the following steps to interpret a Taguchi design. Key output includes the delta and rank values, the p-values, the coefficients, and the main effect and interaction plots.

A signal factor is present in a dynamic Taguchi design, but is not present in a static Taguchi design. In a dynamic response design, the quality characteristic operates along a range of …

In Taguchi experiments, you always want to maximize the S/N ratio. In this example, the ranks indicate that core diameter (B) has the most influence on both the S/N ratio and the mean. For …

Use Create Taguchi Design to create a robust parameter design to identify controllable factors in your process that can minimize response variation and make your product insensitive to …

Formula The formula for the signal-to-noise (S/N) ratio for a dynamic Taguchi design using base 10 log is: S/N = 10*log [ (slope) 2 / MSE] where MSE = mean square error You can also …

Taguchi designs traditionally focus on main effects, but it is important to test suspected interactions. Use the interaction plots to determine whether the effect of one factor on a …

Use the response tables to select the best level for each factor. Usually you have the following objectives with a Taguchi design: Minimize the standard deviation Maximize the S/N ratio Meet …

The engineer designs a 2-level Taguchi experiment to determine which factor settings increase the plant's rate of growth without increasing the variability in growth.

A Taguchi analysis treats all factors as categorical, although the actual measurements may be on a continuous scale. If you have only one categorical factor and no continuous predictors, use …