This course will attempt to provide the student with a comprehensive coverage of the modern practice of statistical quality control from basic principles to state-of-the-art concepts and applications. An introduction to quality improvement in the modern business environment will deal with the facts that quality has become a major business strategy and that organizations with successful quality-improvement programmes can increase their productivity, enhance their market penetration, and achieve greater profitability and a strong competitive advantage. While the entire range of statistical process-control tools will be extensively discussed, the primary focus will be on the control chart whose use in modern-day business and industry is of tremendous value. Various control charts will be discussed, including cumulative sum procedures and multivariate charts. Commonly used process capability indices will be discussed and compared. The important interrelationship between statistical process control and experimental design for process improvement will be emphasized. In recent years, there has been much interest and discussion regarding a set of statistical and nonstatistical tools referred to as ``Taguchi methods". These will be critically examined.
The text will be D. C. Montgomery, Introduction to Statistical Quality Control, 2nd ed. (Wiley)
The final grade may be based on assignments (15%), a class test (35%), and a final examination (50%).