The CUSUM and the EWMA head-to-head

Douglas M Hawkins, Qifan Wu

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

The cumulative sum (CUSUM) and the exponentially weighted moving average (EWMA) control charts are alternatives to the Xbar chart. The CUSUM's theoretical optimality suggests that it should outperform the EWMA for detecting persistent shifts, but practitioners have long thought that the two perform about equally. Each also involves design decisions on the likely shift in the process. This article quantifies the effect of these choices and concludes that, though the CUSUM outperforms the EWMA at the shift for which each was designed, if the actual shift is smaller than that used in the design, the EWMA may respond faster.

Original languageEnglish (US)
Pages (from-to)215-222
Number of pages8
JournalQuality Engineering
Volume26
Issue number2
DOIs
StatePublished - Jan 1 2014

Keywords

  • cumulative sum control chart
  • exponential weighted moving average control chart
  • inertia
  • process mean
  • statistical process control
  • steady state
  • sustained shift

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