Assessment of Traditional Demerits and a New Ordinal Alternative

Chimka Justin R. () and Wang Qilu
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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

Stochastics and Quality Control, 2013, vol. 28, issue 2, 71-76

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.

Keywords: Operations Research; Statistics; Systems Theory; Operations Research; Statistics; Systems Theory (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1515/eqc-2013-0014

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