Abstract: In this paper we investigate the choice of best combination of factors for 2⁷ X 3¹ mixed factorial design in 16 runs through Taguchi Design Method and Response Surface Method (RSM). Further we show that Response Surface Method predicts better optimal response (9.72% more) as compared to optimum response obtained through Taguchi Design Method. The comparison of methods is done with the help Spin-on-Filter case study conducted by [1]. We use MINITAB for the analysis under both methods.

Keywords: Spin-on-filter (SOF); Taguchi Design Method; Signal-to-noise ratio; Response Surface Method; Dynamic life of SOF; Choice of the best factors combination; ANOVA