Taguchi Method for Optimization Design of Experiments and Dose-Response Studies

Optimization designs of experiments (DOE) are most often used for product and process optimization. Industrial engineering uses specialized DOE for this purpose. Invented by Dr. Genechi Taguchi, a Japanese scientist, in 1940s, Taguchi Method (TM), is one of these methods. Application of optimization DOEs to areas of performance improvement and dose response relationships, however, is very limited. This is most likely due to the large sample sizes typically required by TM. Human measurement typically involves more error compared to measurement of inanimate objects. In addition, factorial studies become larger with each independent variable (IV) and IV level added to a model. Within the various fields of AAHPERD there are dose response relationships which have not been studied due to nature for factorial study designs. With TM a “big picture” can be studied and eventually lead to more precise studies of a dose- response relationships. This can be accomplished with the use of fractional factorial DOEs and partial-IV averaging. There are many benefits to TM, such as saving on experimental costs and large design sampling. However, the drawback is not studying possible interaction between IVs. This concern needs to be taken into consideration when using TM study designs. TM specifically puts much emphasis in the design phases of experiments to reduce possible interaction in certain parts of its design. This talk will focus on discussing TM, its benefits and drawbacks and its applications to the fields of physical education and exercise science.