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Optimised uncertainty and cost operating characteristics: newtools for conformity assessment. Application to geometrical product control in automobileindustry

Published online by Cambridge University Press:  17 December 2010

L. R. Pendrill
L. R. Pendrill*
Affiliation:
SP Technical Research Institute of Sweden, Measurement Technology, Box 857, SE-501 15 Borås, Sweden
*
⋆ Correspondence:leslie.pendrill@sp.se
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Abstract

Translating measurement uncertainty into terms of effective impact associated withmanufacture, testing and incorrect assessment gives a more “stakeholder” motivated (andultimately optimised) approach to decision-making in conformance assessment. Recentlydeveloped decision-theory tools include the “optimized uncertainty” methodology and the“operating cost characteristic”. Overall costs, E, consisting of a sum oftesting costs, D, and the costs, C, associated withcustomer risk, can be calculated with the expression:

with , whereRPV denotes the region of permissiblevalues and σ is a measure of dispersion. A complete, 3D surface ofoverall cost can indicate the optimum level of measurement effort of these two ranges, asrecently published by the author in a wide range of applications: optimized acceptancesampling; optimized testing of measurement instruments; and an analysis of optimisedcalibration intervals and “guard-banding”. This approach is illustrated in the presentwork for the example of geometrical product control in the car industry, specifically thegap in vehicle closure panels taking account of customer dissatisfaction.

Keywords

OptimiseduncertaintycostGPSautomobile
Type
Research Article
Information
International Journal of Metrology and Quality Engineering , Volume 1 , Issue 2 , 2010 , pp. 105 - 110
Copyright
© EDP Sciences 2010

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