Design for Six Sigma, Chapter 17 - Response Surface Methodology
Here is a chapter from an updated Design for Six Sigma, Second Edition, which has extensive new chapters and learning modules on innovation, lean product development, computer simulation, and critical parameter management--plus new thread-through case studies. This updated edition provides unrivalled real-world product development experience and priceless walk-throughs that help you choose the right design tools at every stage of product and service development. The book includes detailed directions, careful comparisons, and work-out calculations that make every step of the Design for Six Sigma process easier.
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173 Response Surface Experimental Designs
174 Response Surface Experimental Data Analysis for Single Response
175 Response Surface Experimental Data Analysis for Multiple Responses
176 Mixture Experiments
ˆ ˆ ˆ axial points Binder blending bound for yi Box-Behnken design burning rate canonical polynomial central composite design component amounts component proportions D-optimal design Design Matrix design with centerpoints di(yi Estimated Regression Coefficients Example experiment with centerpoints experimental layout experimental points experimental runs F-test factorial experiment factorial points feasible region Figure fractional factorial design Fuel Fuel*Binder Fuel*Oxidizer Fuel*Oxidizer*Binder Layout and Data line search Mfg-Index MINITAB mixture design mixture experiments mixture variables multiple-response number of important optimal region optimal solution output requirement output response Oxidizer Oxidizer*Binder paint prediction variance regular response surface Response Surface Experimental response surface experiments response surface method response surface methodology saddle point screening experiment search direction second-order model significant curvature simplex centroid design simplex lattice design Six Sigma small number stationary point Std-br steepest-ascent method surface plot temperature Term Coef transfer efficiency transfer functions values Xlow yi Ui yield β β β