A robust S2 control chart with Tukey's and MAD outlier detectors

Nasir Abbas*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Shewhart S2 control chart is one of the most commonly used tools to monitor the dispersion of a process. In this article, we evaluate the performance of S2 control chart when the unknown parameter is estimated from Phase-I samples. Average ARL and standard deviation of ARL metrics are used to evaluate the performance. In the first stage of the study, new control limit coefficients are derived so that the average ARL is equal to the pre-fixed ARL, ie, 370. Secondly, different proportion of outliers is contaminated into Phase-I samples, and the resulting elevated average ARL and standard deviation of ARL are measured. Finally, the application of Tukey's outlier detector is proposed with Phase-I samples so that the elevation caused by the outliers can be controlled and the average ARL can be pulled back close to the pre-fixed ARL. For illustration, the proposed procedures are applied to a data on compressive strength of parts manufactured by an injection molding process.

Original languageEnglish
Pages (from-to)403-413
Number of pages11
JournalQuality and Reliability Engineering International
Volume36
Issue number1
DOIs
StatePublished - 1 Feb 2020

Bibliographical note

Publisher Copyright:
© 2019 John Wiley & Sons, Ltd.

Keywords

  • average of ARL (AARL)
  • average run length (ARL)
  • estimation effect
  • outlier detector
  • statistical process control

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'A robust S2 control chart with Tukey's and MAD outlier detectors'. Together they form a unique fingerprint.

Cite this