Control charts and feedback adjustments for a jump disturbance model

Nasser H. Ruhhal, George Runger, Monica Dumitrescu

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

We compare the performance of repeated process adjustments to postponed (bounded) adjustments for a model other than the widely used, normal-theory integrated moving average model. We generalize to an interesting, yet practical, alternative jump disturbance model. This model allows the process mean to remain constant for a random time period before a disturbance changes it (and includes a parameter that specifies the rate of mean changes in the process). Because the postponed adjustment can be based on a control chart, these strategies are included. Known analytical results are summarized and simulation is used to extend the performance analysis of different control strategies. We argue that for many process-operating conditions adjustments can be postponed, but that the magnitude of the adjustment (the diligent reaction) is a critical component for success.

Original languageEnglish (US)
Pages (from-to)379-394
Number of pages16
JournalJournal of Quality Technology
Volume32
Issue number4
DOIs
StatePublished - 2000

Keywords

  • Engineering Process Control
  • Feedback Adjustment
  • Statistical Process Control
  • Time Series

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Control charts and feedback adjustments for a jump disturbance model'. Together they form a unique fingerprint.

  • Cite this