Some Current Directions in the Theory and Application of Statistical Process Monitoring

Abstract

The purpose of this paper is to provide an overview and our perspective of recent research and applications of statistical process monitoring. The focus is on work done over the past decade or so. We review briefly a number of important areas, including health-related monitoring, spatiotemporal surveillance, profile monitoring, use of autocorrelated data, the effect of estimation error, and high-dimensional monitoring, among others. We briefly discuss the choice of performance metrics. We provide references and offer some directions for further research.

• Control Chart
• Healthcare Monitoring
• Image Monitoring
• Profile Monitoring
• Public-Health Surveillance
• Risk-Adjusted Monitoring
• Spatiotemporal Surveillance
• SPC
• Statistical Process Control

Additional information

Notes on contributors

William H. Woodall

Dr. Woodall is Professor of Statistics. He is a Fellow of ASQ. His email address is [email protected].

Douglas C. Montgomery

Dr. Montgomery is Regents' Professor of Industrial Engineering and Statistics and ASU Foundation Professor of Engineering. He is a Fellow of ASQ. His email address is [email protected].