Taguchi methods
Statistical methods to improve the quality of manufactured goods / From Wikipedia, the free encyclopedia
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Taguchi methods (Japanese: タグチメソッド) are statistical methods, sometimes called robust design methods, developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to engineering,[1] biotechnology,[2][3] marketing and advertising.[4] Professional statisticians have welcomed the goals and improvements brought about by Taguchi methods,[editorializing] particularly by Taguchi's development of designs for studying variation, but have criticized the inefficiency of some of Taguchi's proposals.[5][citation needed]
Taguchi's work includes three principal contributions to statistics:
- A specific loss function
- The philosophy of off-line quality control; and
- Innovations in the design of experiments.