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.
Zolfaghari, S., & Amiri, A. (2016). Monitoring multivariate-attribute quality characteristics in two stage processes using discriminant analysis based control charts. Scientia Iranica, 23(2), 757-767. https://doi.org/10.24200/sci.2016.3861
MLA
Zolfaghari, S., & Amiri, A. "Monitoring multivariate-attribute quality characteristics in two stage processes using discriminant analysis based control charts", Scientia Iranica, 23, 2, 2016, 757-767. doi: 10.24200/sci.2016.3861
HARVARD
Zolfaghari S., Amiri A. (2016). 'Monitoring multivariate-attribute quality characteristics in two stage processes using discriminant analysis based control charts', Scientia Iranica, 23(2), pp. 757-767. doi: 10.24200/sci.2016.3861
CHICAGO
S. Zolfaghari & A. Amiri, "Monitoring multivariate-attribute quality characteristics in two stage processes using discriminant analysis based control charts," Scientia Iranica, 23 2 (2016): 757-767, doi: 10.24200/sci.2016.3861
VANCOUVER
Zolfaghari S., Amiri A. Monitoring multivariate-attribute quality characteristics in two stage processes using discriminant analysis based control charts. Scientia Iranica. 2016;23(2):757-767. doi: 10.24200/sci.2016.3861
