Quality Improvement Through Planned Experimentation

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

Foreword Preface Chapter 1-Improvement of Quality 1.1 Introduction 1.2 Improvement of Quality 1.3 Model for Improvement 1.4 Summary References Exercises Chapter 2-Testing a Change 2.1 Introduction 2.2 Prediction and Degree of Belief 2.3 Using the PDSA Cycle to Test a Change 2.4 Designing Tests of Change 2.5 Principles for Testing a Change 2.6 Analysis of data from Tests of Change 2.7 Summary References Exercises Chapter 3-Principles for Design and Analysis of Planned Experiments 3.1 Definitions 3.2 Types of Planned Experiments 3.3 Principles for Designing Analytic Studies 3.4 Tools for Experimentation 3.5 Form for Documentation of a Planned Experiment 3.6 Analysis of Data from Analytic Studies 3.7 Summary References Exercises Chapter 4-Experiments with One Factor 4.1 General Approach to One-Factor Experiments 4.2 Using the Control Chart for a One-Factor Experiment 4.3 Example of a One-Factor Design 4.4 Paired-Comparison Experiments 4.5 Randomized Block Designs 4.6 Incomplete Block Designs 4.7 Summary References Exercises Chapter 5-Experiments with More Than One Factor 5.1 Introduction to Factorial Designs 5.2 Design of Factorial Experiments 5.3 Analysis of Factorial Experiments 5.4 Summary References Exercises Chapter 6-Reducing the Size of Experiments 6.1 Introduction to Fractional Factorial Designs 6.2 Fractional Factorial Designs--Moderate Current Knowledge 6.3 Fractional Factorial Designs--Low Current Knowledge 6.4 Blocking in Factorial Designs 6.5 Summary References Exercises Chapter 7-Evaluating Sources of Variation 7.1 The Control Chart as a Nested Design 7.2 Nested Design to Study Measurement Variation 7.3 A Three-Factor Nested Experiments 7.4 Planning and Analyzing an Experiment with Nested Factors 7.5 More than Three Factors in a Nested Design 7.6 A Study with Nested and Crossed Factors 7.7 Summary Appendix 7A: Calculation of Variance Components Appendix 7B: Calculating and Combining Statistics References Exercises Chapter 8-Experiments for Special Situations 8.1 Factorial Designs with More Than Two Levels 8.2 Augmenting 2k Factorial Designs with Center Points 8.3 Three-Level Factorial Designs 8.4 Experimental Design for Interchangeable Parts 8.5 Experiments for Formulations or Mixtures 8.6 Evolutionary Operation 8.7 Experimental Designs for Complex Systems 8.8 Summary References Exercises Chapter 9-New Product Design 9.1 Introduction 9.2 Phase 0: Generate Ideas 9.3 Phase 1: Develop Concepts and Define Product 9.4 Phase 2: Test 9.5 Phase 3: Produce Product 9.6 Summary References Exercises Chapter 10-Case Studies 10.1 Case Study 1: Improving a Milling Process 10.2 Case Study 2: Redesign a Wallpaper Product Exercises Appendix A-Improvement Using Control Charts A.1 Introduction A.2 Control Charts for Individual Measurements A.3 Subgrouping A.4 Interpretation of a Control Chart A.5 Types of Control Charts A.6 Capability of a Process A.7 Planning a Control Chart A.8 Summary References Exercises Appendix B-Evaluating Measurement Systems B.1 Introduciton B.2 Studying Measurement Processes B.3 Data from a Measurement Process B.4 Monitoring and Improving a Measurement Process B.5 Using Planning Experimentation to Improve a Measurement Process B.6 Case Study: Evaluating a Measurement Process B.7 Summary References Appendix C-Form C.1 Worksheet for Documenting a PDSA Cycle C.2 Form for Documentation of a Planned Experiment C.3 Tables of Random Numbers C.4 Design Matrices for Low Current Knowledge C.5 Design Matrices for Moderate Current Knowledge C.6 Design Matrices for High Current Knowledge Gossary Index