Efficient power computation for r out of m runs rules schemes

Rashid Mehmood, Muhammad Riaz*, Ronald J.M.M. Does

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

In this article we develop a power computation code in the R language which provides an easy to use tool to researchers in designing Shewhart control charts. It enables researchers to use different existing and newly introduced sensitizing rules and runs rules schemes designed for Shewhart-type control charts for location and spread. The code provides researchers to compute the power for different options of r out of m rules/schemes. The code is flexible to apply for any sample size, false alarm rate, type of control limits (one- or two-sided), amount of shift in the process parameters and a variety of popular distributions for commonly used Shewhart-type control charts (i. e.X̄, R, S and S2 charts). These mentioned benefits of the developed functional code are only partially found in features of the existing software packages and these programs may be enhanced by adding the features of the developed code as a function in their libraries dealing with quality control charting.

Original languageEnglish
Pages (from-to)667-681
Number of pages15
JournalComputational Statistics
Volume28
Issue number2
DOIs
StatePublished - Apr 2013

Keywords

  • Control charts
  • Efficient code
  • Normal and non-normal distributions
  • Power
  • R language
  • Runs rules

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Computational Mathematics

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