techniques focus on the robustness of the product.
How the Quality
(Taguchi) Loss Function is used.
How to calculate
and use Signal to Noise ratios.
designs were derived.
How to determine
which Taguchi design to use for your application.
How to use
Taguchi interaction tables.
How to test the
statistical significance of factor effects.
How to develop a
prediction equation that can be used to optimize the response.
How to use mean,
S/N, and variation effects to determine where to set factors.
How to salvage
experiments if data are lost.