Quality Through Design: Experimental Design, Off-line Quality Control, and Taguchi's Contributions
This volume provides a clear exposition of the quality-control techniques that have contributed greatly to Japan's industrial success. Pioneered by Taguchi, these methods combine off-line product/process optimization and quality cost containment with appropriate statistical techniques for experimental design and analysis. In detailing the advantages of designing quality during both product development and process design stages, the book describes numerous new developments in areas such as variance estimation, tolerance design, data transformation, and response surface experimentation. Many worked examples and case histories appear throughout. Offering a rare source of information that brings together proven Japanese planning approaches with statistical theory, Quality Through Design is ideal for design engineers, quality technologists and managers, professional statisticians, and students.
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Fundamentals of data analysis
Further design and analysis techniques
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2-level factors 3-level achieved additional analysis ANOVA Appendix applied approximation assigned assuming average block calculated called Chapter coefficients columns combination components considered constructed continuous corresponding cost degrees of freedom depends described determined distribution effect error estimate example existence experiment experimental experimental design factors function given important improve independent indicates interaction interest interval known linear loss mean measure method minimize normal Note observations obtained optimal orthogonal array parameter performance points possible probability procedure quadratic random regression replications represents residual respectively response sample Section shown shows significant simple sources stage statistical sum of squares Table Taguchi technique tolerance transformation trial unit usually values variability variance variation ܐ ܐ