Designing a multivariate EWMA control chart

Sharad S. Prabhu, George Runger

Research output: Contribution to journalArticle

157 Citations (Scopus)

Abstract

A multivariate exponentially weighted moving average control chart can be used to improve the detection of small shifts in multivariate statistical process control. Recommendations are provided for the selection of parameters for such a chart. The recommendations are based on performance distributions and average run lengths for zero-state, steady-state, and worst-state cases that are obtained from a Markov chain analysis of the scheme.

Original languageEnglish (US)
Pages (from-to)8-15
Number of pages8
JournalJournal of Quality Technology
Volume29
Issue number1
StatePublished - Jan 1997

Fingerprint

EWMA Chart
Statistical process control
Control Charts
Markov processes
Recommendations
Multivariate Statistical Process Control
Exponentially Weighted Moving Average Control Chart
Average Run Length
Chart
Markov chain
Zero
Control charts
Exponentially weighted moving average

Keywords

  • Average Run Length
  • Chi-Squared Control Charts
  • Exponentially Weighted Moving Average Control Charts
  • Multivariate Control Charts
  • Statistical Process Control

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Statistics and Probability
  • Management Science and Operations Research

Cite this

Designing a multivariate EWMA control chart. / Prabhu, Sharad S.; Runger, George.

In: Journal of Quality Technology, Vol. 29, No. 1, 01.1997, p. 8-15.

Research output: Contribution to journalArticle

Prabhu, Sharad S. ; Runger, George. / Designing a multivariate EWMA control chart. In: Journal of Quality Technology. 1997 ; Vol. 29, No. 1. pp. 8-15.
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