Quality improvement through planned experimentation (3^rd Ed.)

Improvement of Quality, Building Knowledge, the Scientific Method, Model for Improvement, Using the PDSA Cycle to Test a Change, Principles for Design and Analysis of Planned Experiments, Types of Planned Experiments, Principles for Designing Analytic Studies, Tools for Experimentation, Form for Documentation, Analysis of Data from Analytic Studies, Experiments with One Factor, General Approach to 1 Factor Experiments, Using Control Chart for a 1 Factor Experiment, Example of a One Factor Design, Paired Comparison Experiments, Randomized Block Designs, Incomplete Block Designs, Experiments w/ More Than 1 Factor, Introduction to Factorial Designs, Design of Factorial Experiments, Analysis of Factorial Experiments, Reducing Size of Experiments, Introduction to Fractional Factorial Designs, Fractional Factorial Designs Moderate, Fractional Factorial Designs Low, Blocking in Factorial Designs, Evaluating Sources of Variation, Rational Subgrouping with Control Charts, Nested Design to Study Variation, A Three Factor Nested Experiment, Planning/Analyzing with Nested Factors, More than Three Factors in a Nested Design, A Study with Nested and Crossed Factors, Calculating Variance Components, Calculating Summary Statistics, Case Study: Sequential Experiment, Improving a Mill Process, Time Series Designs, Designs for Studying Changes over time, Use of Shewhart Control Charts, Case Study - Sequential Experimentation Using Time Series, Experiments with More than 2 Levels and Special Applications, Factorial Designs with More Than 2 Levels, Augmenting Factorial Designs with Center Points, Three level Factorial Designs, Special applications (Interchangeable Parts, Mixtures, Evolutionary Operation), Experimental Design for Complex Systems, Applications in the Biomedical Field Case Study, New Product Design, Phase 0: Generate Ideas, Phase 1: Develop Concepts, Define Product, Phase 2: Test, Phase 3: Implement, Case Study