A mean deviation-based approach to monitor process variability

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33 Scopus citations

Abstract

The study proposes a Shewhart-type control chart, namely an MD chart, based on average absolute deviations taken from the median, for monitoring changes (especially moderate and large changes - a major concern of Shewhart control charts) in process dispersion assuming normality of the quality characteristic to be monitored. The design structure of the proposed MD chart is developed and its comparison is made with those of two well-known dispersion control charts, namely the R and S charts. Using power curves as a performance measure, it has been observed that the design structure of the proposed MD chart is more powerful than that of the R chart and is very close competitor to that of the S chart, in terms of discriminatory power for detecting shifts in the process dispersion. The non-normality effect is also examined on design structures of the three charts, and it has been observed that the design structure of the proposed MD chart is least affected by departure from normality.

Original languageEnglish
Pages (from-to)1173-1193
Number of pages21
JournalJournal of Statistical Computation and Simulation
Volume79
Issue number10
DOIs
StatePublished - Oct 2009
Externally publishedYes

Keywords

  • Control charts
  • MD chart
  • Non-normality
  • Normality
  • Power curves
  • R chart
  • S chart
  • Simulations

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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