Introduction to Statistical Process Control

"The material in all chapters is presented in a concise manner, without proofs, but with many relevant references. I find the last four chapters of the book valuable and worth having. Graduate students in statistics departments and experienced researchers would benefit from the quick exposure to the ideas and methodologies and in particular from the extensive bibliography. ... the book contains material not presented in other books along with many relevant references. It would be a useful addition to the libraries of graduate students and researchers."
-Shelemyahu Zacks, The American Statistician, November 2014

"Bringing new statistical methods for quality control in line with the computer age, Introduction to Statistical Process Control presents state-of-the-art statistical process control (SPC) techniques for industrial and service processes. This book reflects major progress in the use of SPC for product and process improvement, introduces some of the newest discoveries-and sheds further light on existing ones-on the SPC approaches that can be applied across various areas of research, including engineering, medicine, and service.
It is accessible to SPC researchers as well as quality control engineers with varying levels of statistical expertise, with plenty of data examples that make reading and learning enjoyable. As it demonstrates how to apply the SPC methods to a broad range of processes and models encountered in practice, the book also serves as a valuable reference for professionals in the systems engineering, medical, and management science fields, as well as those in computer and information sciences who would like to learn more about quality control or sequential process monitoring. It is generally my first recommendation when asked for a valuable resource in the field due to the breadth of topics covered and its practical utility. In addition, I think the book would be an excellent choice as the primary textbook in an SPC course."
-Dr. Changliang Zou, Department of Statistics, Nankai University, China