Model-based and model-free control of autocorrelated processes

George C. Runger, Thomas R. Willemain

Research output: Contribution to journalArticlepeer-review

94 Scopus citations


Advances in automated sampling technology have made autocorrelated data commonplace. Positive autocorrelation degrades control charts designed by classical methods. If a correct time-series model of the autocorrelated process is available, many have advocated the use of control charts on the residuals from the model. Using the average run length criterion in an AR(1) model, we show that plotting averages of batches of the raw data can be an effective alternative to plotting residuals. We consider both weighted averages and the simple, model-free approach of arithmetic averages. We compare these statistics to residuals in both Shewhart and cumulative sum (CUSUM) control charts.

Original languageEnglish (US)
Pages (from-to)283-292
Number of pages10
JournalJournal of Quality Technology
Issue number4
StatePublished - 1995
Externally publishedYes

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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