Mixture cumulative count control chart for mixture geometric process characteristics

Muhammad Younas Majeed, Muhammad Aslam, Muhammad Riaz

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A statistical process control chart named the mixture cumulative count control chart (MCCC-chart) is suggested in this study, motivated by an existing control chart named cumulative count control chart (CCC-chart). The MCCC-chart is constructed based on the distribution function of a two component mixture of geometric distributions using the number of items inspected until a defective item is observed 'n' as plotting statistics. We have observed that the MCCC-chart has the ability to perform equivalent to the CCC-chart when number of defective items follows geometric distribution and better than the CCC-chart when the number of defective items produced by a process follows a mixture geometric model. The MCCC-chart may be considered as a generalized version of CCC-chart.

Original languageEnglish
Pages (from-to)2289-2307
Number of pages19
JournalQuality and Quantity
Volume47
Issue number4
DOIs
StatePublished - Jun 2013

Keywords

  • ARL
  • CCC-chart
  • High yield process
  • MCCC-chart
  • Mixture models

ASJC Scopus subject areas

  • Statistics and Probability
  • General Social Sciences

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