Chapter 1‎.‎ Quality Improvement in the Modern Business Environment ‎.‎ PART I‎:‎ STATISTICAL METHODS USEFUL IN QUALITY CONTROL AND IMPROVEMENT‎.‎ Chapter 2‎.‎ Modeling Process Quality‎.‎ Chapter 3‎.‎ Statistics and Sampling Distributions‎.‎ PART II‎:‎ 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 III‎:‎ 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 IV‎:‎ 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 V‎:‎ ACCEPTANCE SAMPLING‎.‎ Chapter 14‎.‎ Lot‎-by‎-Lot Acceptance Sampling for Attributes‎.‎ Chapter 15‎.‎ Other Acceptance‎-Sampling Techniques‎.‎ Appendices‎.‎ Answers to Selected Problems ‎.‎ Index‎.‎