5. Process Improvement 5.5. Advanced topics

Contents of "Advanced Topics" section

This section builds on the basics of DOE described in the preceding sections by adding brief or survey descriptions of a selection of useful techniques. Subjects covered are:    When classic designs don't work Computer aided designs D-Optimal designs Repairing a design Optimizing a Process Single response case Path of steepest ascent Confidence region for search path Choosing the step length Optimization when there is adequate quadratic fit Effect of sampling error on optimal solution Optimization subject to experimental region constraints Multiple response case Path of steepest ascent Desirability function approach Mathematical programming approach Mixture designs Mixture screening designs Simplex-lattice designs Simplex-Centroid Designs  Constrained misture designs Treating mixture and process variables together Nested variation Taguchi designs John's 3/4 fractional factorial designs Small composite designs