Monitoring multivariate-attribute quality characteristics in two-stage processes using discriminant analysis based control charts

作者：Zolfaghari S; Amiri A^*

来源：Scientia Iranica, 2016, 23(2): 757-767.

DOI：10.24200/sci.2016.3861

• Multi-stage process
• Multivariate-attribute characteristics
• Discriminant analysis

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 T-2 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.

• 出版日期2016