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Assessment of Traditional Demerits and a New Ordinal Alternative

Author

Listed:
  • Chimka Justin R.

    (Department of Industrial Engineering, University of Arkansas, 800 W Dickson St, Fayetteville, AR 72701 USA)

  • Wang Qilu

    (Department of Industrial Engineering, University of Arkansas, 800 W Dickson St, Fayetteville, AR 72701 USA)

Abstract

Demerits control is the traditional tool for monitoring defects of different severity with a single chart. It requires arbitrary assignment of numerical values to the ordinal scale and therefore is theoretically flawed. We assess the error rates of demerits control compared to an alternative based on the proportional odds model only to find that it is not more powerful than traditional demerits.

Suggested Citation

  • Chimka Justin R. & Wang Qilu, 2013. "Assessment of Traditional Demerits and a New Ordinal Alternative," Stochastics and Quality Control, De Gruyter, vol. 28(2), pages 71-76, December.
    • Handle: RePEc:bpj:ecqcon:v:28:y:2013:i:2:p:6:n:1
    DOI: 10.1515/eqc-2013-0014
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    References listed on IDEAS

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    1. Chan, Ngai Hang & Ling, Shiqing, 2006. "Empirical Likelihood For Garch Models," Econometric Theory, Cambridge University Press, vol. 22(3), pages 403-428, June.
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