Taguchi methods: design of experiments
Any experiment must be measured properly and exactly. Without such accuracy the experiment and its results can be altered. Dr. Taguchi recognized this and developed methods that insured accurate measurements of any engineering experiment. In Volume 4 of the Taguchi Methods series these methods are explained. Examples are used throughout.
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2-level factors 3-level adjustment amount of wear analysis of variance ANOVA Table Factor Appendix assigned to columns average called Chapter coefficients combination design compounded noise factor considered control factors current condition data points decibel units decomposed decomposition degrees of contribution degrees of freedom denoted dummy treatment error variance estimate evaluation example experiment Factor f factorial effects Genichi Taguchi indicative factor inner array inner factors inner noise interaction Japanese Standards Association larger-the-better characteristic Layout and Results level totals linear equation linear graph Lis array Loss Function mean nominal-the-best characteristic number of data number of degrees number of replications optimum condition outer array output parameter design pooled proportional equation pure variation quality engineering quality improvement S/N Ratio sensitivity shown in Table significant subtracting sum of squares supplementary table Taguchi Methods temperature Tolerance Design total variation variability WI WI worst condition