Research Issues and Ideas in Statistical Process Control

Abstract

An overview is given of current research on control charting methods for process monitoring and improvement. The discussion includes a historical perspective along with ideas for future research. Research topics include, for example, variable sample size and sampling interval methods, economic designs, attribute data methods, charts based on autocorrelated observations, multivariate methods, and nonparametric methods. Recommendations and references are provided to those interested in pursuing research ideas in statistical process control (SPC). Some issues regarding the relevance of SPC research are also discussed.

• Control Charting
• Statistical Process Control
• Statistical Quality Control

Additional information

Notes on contributors

William H. Woodall

Dr. Woodall is Russell Professor of Statistics in the Department of Management Science and Statistics. He is a Senior Member of ASQ. His email address is [email protected].

Douglas C. Montgomery

Dr. Montgomery is a Professor in the Department of Industrial and Management Systems Engineering. He is a Fellow of ASQ.