Inverse maxwell distribution and statistical process control: An efficient approach for monitoring positively skewed process

M. Hafidz Omar*, Sheikh Y. Arafat, M. Pear Hossain, Muhammad Riaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

(1) Background: The literature discusses the inverse Maxwell distribution theoretically without application. Control charting is promising, but needs development for inverse Maxwell processes. (2) Methods: Thus, we develop the VIM control chart for monitoring the inverse Maxwell scale parameter and studied its statistical properties. The chart’s performance is evaluated using power curves and run length properties. (3) Results: Further, we use simulated data to compare the shift detection capability of our chart with Weibull, gamma, and lognormal charts. (4) Conclusion: The analysis demonstrates our chart’s efficiency for monitoring skewed processes. Finally, we apply our chart for monitoring real world lifetimes of car brake pads.

Original languageEnglish
Article number189
Pages (from-to)1-22
Number of pages22
JournalSymmetry
Volume13
Issue number2
DOIs
StatePublished - Feb 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Average run length
  • Brake pad
  • Inverse Maxwell distribution
  • Lognormal s-chart
  • Statistical process control

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • General Mathematics
  • Physics and Astronomy (miscellaneous)

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