PART I: FUNDAMENTAL CONEPTS AND METHODS
Chapter 1 Evolution of Quality Design and Control
Chapter 2 Conceptual Framework for Quality: Design and Control
Chapter 3 Statistical Methods and Probability Concepts
for Data Characterization
Chapter 4 Sampling Distributions and Statistical Hypothesis Testing
Chapter 5 Conceptual Framework for Statistical Process Control
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PART II: PROCESS CONTROL AND IMPROVEMENT
Chapter 6 Shewhart Control Charts for Variable Data
Chapter 7 Importance of Rational Sampling
Chapter 8 Interpretation of X and R Control Charts:
Use of Sampling Experiments
Chapter 9 Some Control Chart Methods for Individual Measurements
Chapter 10Â Â Â Process Capability Assessment
Chapter 11Â Â Â The Design and Analysis of Tolerances
Chapter 12Â Â Â Statistical Thinking for Process Study: A Case Study
Chapter 13Â Â Â Shewhart Control Charts for Attribute Data
Chapter 14Â Â Â Attribute Control Chart Implementation
for Process Improvement: Two Case Studies
PART III: PRODUCT/PROCESS DESIGN AND IMPROVEMENT
Chapter 15Â Â Â Conceptual Framework for Planned Experimentation
Chapter 16Â Â Â Design and Analysis of Simple Comparative Experiments
Chapter 17Â Â Â Design and Interpretation of 2k Factorial Experiments
Chapter 18Â Â Â Analysis of Two-Level Factorial Designs
Chapter 19Â Â Â Model Building for Design and Improvement
Using Two-Level Factorial Designs
Chapter 20Â Â Â Two-Level Fractional Factorial Designs
Chapter 21Â Â Â Sequential and Iterative Nature of Experimentation
Chapter 22Â Â Â Robust Design Case Studies
Chapter 23Â Â Â Modeling of Response Surfaces and Response Optimization
References and Further Readings
Appendix Tables
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