TY - JOUR ID - 3861 TI - Monitoring multivariate-attribute quality characteristics in two stage processes using discriminant analysis based control charts JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Zolfaghari, S. AU - Amiri, Amirhossein AD - Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, P.O. Box 18151-159, Iran AD - S. Zolfaghari, Amirhossein Amiri* , Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, P.O. Box 18151-159, Iran Y1 - 2016 PY - 2016 VL - 23 IS - 2 SP - 757 EP - 767 KW - multi-stage process KW - multivariate-attribute characteristics KW - discriminant analysis DO - 10.24200/sci.2016.3861 N2 - 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. UR - https://scientiairanica.sharif.edu/article_3861.html L1 - https://scientiairanica.sharif.edu/article_3861_75d67bad4b625028fa78f1cf6bd7660a.pdf ER -