Acceptance testing procedure equivalence

Babak Abbasi, Rob Crawford, Kathy A. Haskard, Andriy Olenko

Abstract


This article addresses the issues of comparing different acceptance testing systems in an industrial setting, specifically in the dairy industry. The issues were two-fold: how to demonstrate that two different product testing systems were equivalent; and how to ensure that testing done by a customer or consumer on delivery of the product does not reject product deemed acceptable by the producer's testing system. Our comparison of sampling systems was focused around Operating Characteristic curves. Our results suggest that previous approaches are sound when data are normally distributed, although some refinement is possible. When data are not distributed normally, especially with multi-parameter distributions, the usual one dimensional Operating Characteristic curve method fails. In such cases, test methods can be compared by comparing acceptance surfaces in three dimensional plots. To address discrepancies between producer and consumer testing systems, especially if these arise because of different levels of variability between the two systems, an approach involving confidence intervals has the most appeal.

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Keywords


testing; equivalence; sampling system; Operating Characteristic; OC curve; distributions

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DOI: http://dx.doi.org/10.21914/anziamj.v53i0.4707



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