Corrections to an adaptive EWMA control chart based on Hampel function to monitor the process location parameter by Zaman et al. (2023)

  • Babar Zaman*
  • , Hafiz Zafar Nazir
  • , Naveed Khan
  • , Muhammad Riaz
  • , Tahir Abbas
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Zaman et al.1 proposed an adaptive exponential weighted moving average (AEWMA) control chart (CC) by integrating Hampel function features into the traditional EWMA CC structure. The purpose of this study is to find and fix the inaccuracies in the AEWMA CC by Zaman et al.1. We reproduce the results after rectifying the errors of the AEWMA control chart by applying Monte Carlo simulation. The results of corrected version of the AEWMA CC indicates better performance as compared to Zaman et al.1 The average run length is chosen as a performance measure for comparison reason.

Original languageEnglish
Pages (from-to)752-757
Number of pages6
JournalQuality and Reliability Engineering International
Volume40
Issue number1
DOIs
StatePublished - Feb 2024

Bibliographical note

Publisher Copyright:
© 2023 John Wiley & Sons Ltd.

Keywords

  • Hampel function
  • Monte Carlo simulation
  • average run length
  • control chart

ASJC Scopus subject areas

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

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