Projection Property of Classical Fractional Factorial DOE and Taguchi DOE Swaminathan Balachandran Professor of Industrial Engineering University of Wisconsin – Platteville Ph.: (608)-342-1718 FAX: Ph.: (608)-342-1566 1 University Plaza, Platteville, WI 53818 balachas@uwplatt.edu Presenter: Swaminathan Balachandran Keywords: Taguchi Method, Resolution, Projection Property, Comparison of Classical and Taguchi DOE Purpose: To enlighten, exemplify, and highlight the significant differences between the classical fractional design of experiments and the Taguchi Methods of DOE. Abstract Many practitioners are attracted to the Taguchi method of designing experiments because these may be used to investigate N factors using N+1 trials in screening experiments. However, this advantage is nullified by the fact that the fractional factorial designs in the Taguchi method are not symmetrical fractional factorial designs. When Taguchi method is used to study N factors in N+1 trials and subsequently some of the original factors are discarded, a new set of trials will be required. But the classical fractional factorial design of experiments possesses the projection property and a subset of the original variables may be analyzed using the original experimental data. This paper uses two examples to illustrate the above difference between the methods. The paper will first compare the classical fractional design of experiments (DOE) and the Taguchi Methods of DOE in detail. Then two example problems or case studies will be presented. Finally, the two approaches to DOE will be compared in detail using the projection property to show that Taguchi method must be used if and only if the user has adequate knowledge of the system being analyzed. This paper provides a new way of looking at the Taguchi method of designing experiments and brings into focus some limitations of the method. From this paper users and practitioners will be able to realize how the classical DOE may save quite a bit of effort in the long run, especially when the analyst may change the focus of the study after the initial trials. Session Preference: (choose one) __X__ Statistics ____ Quality Control __X__ Tutorial/Case Study Where did you learn about the Call for Papers? ____ Quality Progress ____ ASQ-CPID newsletter ____ On Q ____ ASQ-STAT newsletter ____ AMSTAT news ____ ASA-SPES/Q&P news __X__ electronic (where?) _______e-mail received on Dec. 4, 2002_____ ____ other (please explain) ________________________________________________