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

Authors

1 Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, P.O. Box 18151-159, Iran

2 S. Zolfaghari, Amirhossein Amiri* , Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, P.O. Box 18151-159, Iran

Abstract

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.

Keywords

Scientia Iranica
Volume 23, Issue 2 - Serial Number 2
Transactions on Industrial Engineering (E)
April 2016
Pages 757-767

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History

  • Receive Date: 19 May 2015
  • Revise Date: 21 December 2024
  • Accept Date: 27 July 2017

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