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.