Quality by experimental design

Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of Resources Written by longtime experimental design guru Thomas B. Barker and experimental development/Six Sigma expert Andrew Milivojevich, Quality by Experimental Design, Fourth Edition shows how to design and analyze experiments statistically, drive process and product innovation, and improve productivity. The book presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models.

THE PHILOSOPHY OF EXPERIMENTATION ; Why Design Experiments?; Organizing the Experiment; The Neglected Response Variable STATISTICAL EXPERIMENTAL DESIGN ; The Factorial Two-Level Design: General Factorial Designs; Fractional Factorials at Two Levels; Multilevel Designs; Three-Level Designs; Blocking in Factorial Designs; Randomized Block and Latin Square; Nested Designs; Evolutionary Operation SORTING THE SIGNAL FROM THE NOISE ; Simple Analysis; Analysis of Means by Using the Variance; Yates Analysis: Analysis of 2k and 2k-p Designs; Matrix Algebra; Least Squares Analysis; Putting ANOVA and Least Squares to Work; ANOVA for Blocked and Nested Designs THE DERIVATION OF EMPIRICAL EQUATIONS FROM STATISTICALLY DESIGNED EXPERIMENTS ; Case History of an Experimental Investigation UTILIZATION OF EMPIRICAL EQUATIONS ; Robust Design; Monte Carlo Simulation and Tolerance Design; Case History Completed: The Utilization of the Equation SPECIAL TOPICS IN EXPERIMENTAL DESIGN MIXTURE EXPERIMENTS ; Introduction to Mixture Experiments; Simplex Lattice Design; The Simplex Centroid Design; Constrained Mixtures; Statistical Tables and Graphs.