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Generalization of time-varying fast initial response for exponentially weighted moving average control charts

  • Ganiyu Ayodele Ajibade*
  • , Muhammad Riaz
  • , Alshahrani Mohammed
  • , John Olusola Kuboye
  • , Ekele Alih
  • , Jimoh Olawale Ajadi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

For monitoring processes, exponentially weighted moving average (EWMA) control charts have been found to be very powerful and reliable tools. Meanwhile, some processes require great attention at the startup to ascertain that the processes are free from any disturbances. In this article, we propose a generalized time-varying fast initial response for EWMA control charts. This chart is a special case of the previously proposed time-varying EWMA control chart. The proposed scheme is highly sensitive in detecting small shifts in a given process, particularly at the process startup. The proposed chart is compared with its counterparts using the zero state average run length. We also show an application of the proposed EWMA chart to a real-life situation.

Original languageEnglish
Pages (from-to)4157-4168
Number of pages12
JournalQuality and Reliability Engineering International
Volume38
Issue number8
DOIs
StatePublished - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 John Wiley & Sons Ltd.

Keywords

  • average run length
  • exponentially weighted moving average control charts
  • fast initial response
  • generalized time-varying fast initial response
  • process with startup problems
  • statistical process monitoring

ASJC Scopus subject areas

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

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