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Quality Improvement Through Planned Experimentation 3/E
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Table of Contents

Chapter 1. Improvement of Quality
Building Knowledge and the Scientific Method
Defining Quality
Model for Improvement
Sequential Experimentation Using the PDSA Cycle

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 of a Planned Experiment
Analysis of Data from Analytic Studies Chapter 3. Experiments with One Factor
General Approach to One-Factor Experiments
Using Run Charts for a One-Factor Design
Using Shewhart Charts for One-Factor Experiments
Paired-Comparison Experiments
Randomized Block Designs
Incomplete Block Designs Chapter 4. Experiments with More Than one Factor
Introduction to Factorial Designs
Design of Factorial Experiments
Advanced Topics in the Analysis of Factorial Experiments Chapter 5. Reducing the Size of Experiments
Introduction to Fractional Factorial Designs
Fractional Factorial Designs--Moderate Current Knowledge
Fractional Factorial Designs--Low Current Knowledge
Using Blocking to Design a Sequence of Experiments Chapter 6. Evaluating Sources of Variation
Applications of Nested Designs
Planning and Analyzing an Experiment with Nested Factors
More Complex Nested Designs
Appendix 6a: Calculation of Variance Components
Appendix 6b: Calculating and Combining Statistics
Chapter 7. Sequential Experimentation--A Case Study
Improving a Milling Process--Getting Started
The First Improvement Cycle: Current Performance of the Mlls
The Second PDSA Cycle: Sources of Variation
The Third PDSA Cycle: Evaluating Mill Cutter Vendors
The Fourth PDSA Cycle: Screening Process Variables
The Fifth PDSA Cycle: Evaluate Effect of Improvements on the Mill Process
The Sixth PDSA Cycle: Evaluating Important Factors
The Seventh PDSA Cycle: Determining Optimum Levels
The Eighth PDSA Cycle: Confirmation of Improvements
Final Actions of the Mill Improvement Team Chapter 8. Sequential Experimentation Using a Time Series Response Variable
Incorporating Experimental Patterns in a Time Series
Shewhart Charts
Designs for Sequential Experimentation Using Time Series Response Variables Chapter 9. Experiments with Factors at More than Two Levels
Factorial Designs with More Than Two Levels
Augmenting 2^k Factorial Designs with Center Points
Three Level Designs for Quantitative Factors
Experiments for Formulations or Mixtures
Experimental Design for Complex Systems Chapter 10. Applications in Healthcare Chapter 11. New Product Design
Phase 0: Generate Ideas
Phase 1: Develop Concepts and Define Product
Phase 2: Test
Phase 3: Produce Product
Appendix A: Evaluating Measurement Systems

About the Author

1991 No primary address Improving Quality Through Planned Experimentaion Associates in Process Development

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