Designing a multivariate EWMA control chart

Sharad S. Prabhu, George Runger

Research output: Contribution to journalArticle

162 Scopus citations

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
DOIs
StatePublished - Jan 1997

Keywords

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

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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