Taguchi Methods for Robust Design
For quality improvement, it is very important to compare the traditional approach and Taguchi Methods. Traditionally, quality improvement is mostly motivated by problem solving. Root-cause analysis is important, and whatever data are measured (such as symptoms or defect rates, called responses), they are analyzed. In Taguchi Methods, it is recommended:
To get quality, don’t measure quality!