A head-to-head comparative study of the conditional performance of control charts based on estimated parameters

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

12 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)244-253
Journal / PublicationQuality Engineering
Volume29
Issue number2
Online published17 Jan 2017
Publication statusPublished - Apr 2017
Externally publishedYes

Abstract

Implementation of the Shewhart, CUSUM, and EWMA charts requires estimates of the in-control process parameters. Many researchers have shown that estimation error strongly influences the performance of these charts. However, a given amount of estimation error may differ in effect across charts. Therefore, we perform a pairwise comparison of the effect of estimation error across these charts. We conclude that the Shewhart chart is more strongly affected by estimation error than the CUSUM and EWMA charts. Furthermore, we show that the general belief that the CUSUM and EWMA charts have similar performance no longer holds under estimated parameters.

Research Area(s)

  • average run length, conditional chart performance, CUSUM control chart, estimation effect, EWMA control chart, Shewhart control chart, statistical process control (SPC), statistical process monitoring (SPM)