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Reduction of control-chart signal variablity for high-quality processes

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  • C. Lai
  • K. Govindaraju

Abstract

The design of a control chart is often based on the statistical measure of average run length (ARL). A longer in-control ARL is ensured by the design, but the variance run length distribution may also be large for such a design. In practical terms, the variability in false alarms and true signals may be large. If the sample size for plotting a point is not constant, then the focus is on the average number inspected as against the ARL. This article considers two well-known attribute control chart procedures for monitoring high quality based on the number inspected, and shows how the variability in false alarms and correct signals can be reduced.

Suggested Citation

  • C. Lai & K. Govindaraju, 2008. "Reduction of control-chart signal variablity for high-quality processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(6), pages 671-679.
    • Handle: RePEc:taf:japsta:v:35:y:2008:i:6:p:671-679
    DOI: 10.1080/02664760801921232
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