Research Issues and Ideas in Statistical Process Control

TLDR

Current research on control charting methods for process monitoring and improvement is reviewed, highlighting issues about the relevance of SPC research. The paper discusses a historical perspective and proposes ideas for future research in SPC. Research topics covered include variable sample size and sampling interval methods, economic designs, attribute data methods, autocorrelation‑based charts, multivariate techniques, and nonparametric approaches. The authors provide recommendations and references for researchers interested in pursuing SPC research ideas.

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.