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Quality Improvement Through Planned Experimentation, Third Edition offers in-depth coverage of implementing planned experimentation to make improvements. The Third Edition is thoroughly revised and updated to incorporate new information and case studies on the service and biomedical industries. In addition, a major improvement is the upgrade of the “Study It” now offered on an affiliated... MORE
The statistical methods covered in this book are powerful aids to engineers, technicians, designers, and quality managers who are charged with improving their businesses. The late W. Edwards Deming, who led the sweeping quality revolution in the U.S. in the 20th century, said that this book “breaks new ground in prediction based on data from comparisons of two or more methods, treatments, tests, and experiments.” The work of Deming, Box, Taguchi, and other pioneers in quality served as a foundation for everything in this book.
Quality Improvement Through Planned Experimentation, Third Edition
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
Chapter 2. 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
Chapter 3. Experiments with One Factor
General Approach to 1 Factor Experiments
Using Control Chart for... MORE