Integrating statistical process monitoring with feedforward control

Douglas Montgomery, J. B. Keats, Mark Yatskievitch, William S. Messina

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Feedforward control is a particular form of engineering process control. If a known input variable zt can be measured and appropriate relationships built between the input variable, a compensatory variable xt, and the desired output yt, then a feedforward control system can be developed. Using feedforward control, we show under both sudden jump shifts and trends in the mean of the input and compensatory variables that the use of statistical process monitoring tools, such as the exponentially-weighted moving average and the cumulative sum (CUSUM), significantly reduces variability in both the output variable and the controller relative to the use of feedforward control alone.

Original languageEnglish (US)
Pages (from-to)515-525
Number of pages11
JournalQuality and Reliability Engineering International
Volume16
Issue number6
DOIs
StatePublished - Nov 1 2000

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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