Performance comparisons of bivariate dispersion control charts

Abstract

Statistical process monitoring is an area in which control charting is utilized as a tool for monitoring the levels of a variable related to the quality of a product/process. When the quality is related to more than one characteristics, multivariate techniques are used, i.e., multivariate statistical process monitoring. Primarily, the mean levels of the characteristics of interest are monitored but naturally, the levels of the dispersion are also monitored, ensuring a less volatile process. In this article, we compare some well-known multivariate control charts for the dispersion of normally distributed processes, under several scenarios.

KEYWORDS:

• Multivariate statistical process monitoring
• control charts comparison
• multivariate dispersion