The Seventh Edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the
major aspects of using statistical methodology for quality control and improvement. Both traditional and modern
methods are presented, including state-of-the-art techniques for statistical process monitoring and control and
statistically designed experiments for process characterization, optimization, and process robustness studies.
The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving
strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples,
exercises, problems, and techniques. Statistical Quality Control is best suited for upper-division students in
engineering, statistics, business and management science or students in graduate courses.