Introduction to Statistical Quality Control

About the Author Preface Chapter 1 : Quality Improvement in the Modern Business Environment Part 1 : Statistical Methods Useful in Quality Control and Improvement Chapter 2 : Modeling Process Quality Chapter 3 : Inferences about Process Quality Part 2 : Basic Methods of Statistical Process Control and Capability Analysis Chapter 4 : Methods and Philosophy of Statistical Process Control Chapter 5 : Control Charts for Variables Chapter 6 : Control Charts for Attributes Chapter 7 : Process and Measurement System Capability Analysis Part 3 : Other Statistical Process-Monitoring and Control Techniques Chapter 8 : Cumulative Sum and Exponentially Weighted Moving Average Control Charts Chapter 9 : Other Univariate Statistical Process Monitoring and Control Techniques Chapter 10 : Multivariate Process Monitoring and Control Chapter 11 : Engineering Process Control and SPC Part 4 : Process Design and Improvement with Designed Experiments Chapter 12 : Factorial and Fractional Factorial Experiments for Process Design and Improvement Chapter 13 : Process Optimization with Designed Experiments Part 5 : Acceptance Sampling Chapter 14 : Lot-by-Lot Acceptance Sampling for Attributes Chapter 15 : Other Acceptance-Sampling Techniques Appendix A : Summary of Common Probability Distributions Often Used in Statistical Quality Control B : Cumulative Standard Normal Distribution C : Percentage Points of the X2 Distribution D : Percentage Points of the t Distribution E : Percentage Points of the F Distribution F : Factors for Constructing Variables Control Charts G : Factors for Two-Sided Normal Tolerance H : Factors for One-Sided Normal Tolerance Bibliography Answers to Selected Exercises Index