Taguchi Methods: Design of ExperimentsAny 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. |
Other editions - View all
Common terms and phrases
2-level factors 3-level A1 and A2 adjustment analysis of variance ANOVA Table Factor assigned to columns average B₁ Chapter coefficients combination design compounded noise factor control factors current condition data points decibel units decomposed decomposition degrees of contribution degrees of freedom denoted determined dummy treatment error variance estimate example experiment Factor Column Factor f factorial effects Genichi Taguchi indicative factor inner array inner factors inner noise interactions Japanese Standards Association L18 array larger-the-better characteristic Layout and Results level totals linear equation linear graph Loss Function mean Nominal Nominal nominal-the-best characteristics number of degrees number of replications optimum condition outer array output parameter design pooled proportional equation pure variation quality engineering S/N Ratio sensitivity shown in Table significant subtracting sum of squares supplementary table Taguchi Methods target temperature tolerance design total variation variability