Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, P.O. Box 18151-159, Iran
S. Zolfaghari, Amirhossein Amiri* , Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, P.O. Box 18151-159, Iran
In this paper, we focus specifically on a two stage process with multivariate-attribute quality characteristics in the second stage. The main purpose of this study is extending discriminant analysis (DA) based control charts to monitor a two stage process. We propose three methods including EWMA (DA), integrated EWMA (DA) and P-value (DA), and integrated multivariate exponentially weighted moving average (MEWMA) and T2 charts based on the DA approach to monitor the multivariate-attribute quality characteristic in a two stage process. The performance of the proposed methods is evaluated through simulation studies as well as a real case.