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Non-normality and combined double sampling and variable sampling interval [image omitted] control charts

Author

Listed:
  • Chau-Chen Torng
  • Chun-Chieh Tseng
  • Pei-Hsi Lee

Abstract

A combination of double sampling the [image omitted] chart and the variable sampling interval of the [image omitted] chart (DSVSI [image omitted] chart) increases the sensitivity in the small shift detection. A usual assumption of control charts is that the process observations are normally distributed. However, this assumption may not be true for some processes in the real industry. This paper presented the performance of DSVSI [image omitted] chart under non-normality and compared it with the Shewhart [image omitted] chart and the variable parameters [image omitted] chart. The compared results show that the DSVSI [image omitted] chart has the best performance in detecting small process mean shifts.

Suggested Citation

  • Chau-Chen Torng & Chun-Chieh Tseng & Pei-Hsi Lee, 2010. "Non-normality and combined double sampling and variable sampling interval [image omitted] control charts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 955-967.
    • Handle: RePEc:taf:japsta:v:37:y:2010:i:6:p:955-967
    DOI: 10.1080/02664760902984634
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    Cited by:

    1. Lee, Pei-Hsi & Torng, Chau-Chen & Liao, Li-Fang, 2012. "An economic design of combined double sampling and variable sampling interval X¯ control chart," International Journal of Production Economics, Elsevier, vol. 138(1), pages 102-106.

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