A diagnosing method of runaway signals of MEWMA control charts
WANG Bin (College of Management, Donghua University, Shanghai 200051, China)
MEWMA control chart is one of the most applied multivariate control charts. However, when a MEWMA chart issues a signal, it is difficult to identify which variable or set of variables is out of control. This article applies principal component analysis to diagnose signals in MEWMA charts and gives a demonstration combined with the example brought forward by Lowry.