Time-series approach to discrete real-time process quality control

Steven A. Yourstone, Douglas Montgomery

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

This article presents an alternative approach, based on time series analysis of all the real-time process data. The time series approach is employed because the sequence of process observations may not be statistically independent. The autocorrelative structure in the data may be captured using an ARIMA model, and the residuals from this model are shown to be an effective input signal for a variety of statistical process control procedures.

Original languageEnglish (US)
Pages (from-to)309-317
Number of pages9
JournalQuality and Reliability Engineering International
Volume5
Issue number4
StatePublished - Oct 1989

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Quality control
Time series
Statistical process control
Time series analysis
Process quality
ARIMA models

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Engineering (miscellaneous)

Cite this

Time-series approach to discrete real-time process quality control. / Yourstone, Steven A.; Montgomery, Douglas.

In: Quality and Reliability Engineering International, Vol. 5, No. 4, 10.1989, p. 309-317.

Research output: Contribution to journalArticle

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