Controversies and Contradictions in Statistical Process Control

Abstract

Statistical process control (SPC) methods are widely used to monitor and improve manufacturing processes and service operations. Disputes over the theory and application of these methods are frequent and often very intense. Some of the controversies and issues discussed are the relationship between hypothesis testing and control charting, the role of theory and the modeling of control chart performance, the relative merits of competing methods, the relevance of research on SPC and even the relevance of SPC itself. One purpose of the paper is to offer a resolution of some of these disagreements in order to improve the communication between practitioners and researchers.

• Average Run Length
• Control Charts
• Cumulative Sum Control Charts
• Exponentially Weighted Moving Average Control Charts

Additional information

Notes on contributors

William H. Woodall

Dr. Woodall is a Professor in the Department of Statistics. He is a Fellow of ASQ. His e-mail address is [email protected].