Design strategies for the multivariate exponentially weighted moving average control chart

Murat Caner Testik, Connie M. Borror

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

The multivariate exponentially weighted moving average (MEWMA) control chart has received significant attention from researchers and practitioners because of its desirable properties. There are several different approaches to the design of MEWMA control charts: statistical design; economic-statistical design; and robust design. In this paper a review and comparison of these design strategies is provided.

Original languageEnglish (US)
Pages (from-to)571-577
Number of pages7
JournalQuality and Reliability Engineering International
Volume20
Issue number6
DOIs
StatePublished - Oct 2004

Fingerprint

Control charts
Exponentially weighted moving average
Economics
Robust design

Keywords

  • Economic design
  • Multivariate exponentially weighted moving average
  • Multivariate statistical process control
  • Robustness
  • Statistical design

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Management Science and Operations Research

Cite this

Design strategies for the multivariate exponentially weighted moving average control chart. / Testik, Murat Caner; Borror, Connie M.

In: Quality and Reliability Engineering International, Vol. 20, No. 6, 10.2004, p. 571-577.

Research output: Contribution to journalArticle

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