The assessment of the capability of a measurement system is an important aspect of most process and quality improvement efforts. The usual statistical model relating the measured value to the true, but not observable, value of the quality characteristic is linear and additive. This paper examines the effects of the two-component error model on the performance of measurement systems, and shows that this error model may substantially affect the producer’s and consumer’s risks. We discuss the use of an approximated method to evaluate the capability of the measurement system under the two-component error model.

The two-component error model in measurement systems capability analysis

SCAGLIARINI, MICHELE;COCCHI, DANIELA
2007

Abstract

The assessment of the capability of a measurement system is an important aspect of most process and quality improvement efforts. The usual statistical model relating the measured value to the true, but not observable, value of the quality characteristic is linear and additive. This paper examines the effects of the two-component error model on the performance of measurement systems, and shows that this error model may substantially affect the producer’s and consumer’s risks. We discuss the use of an approximated method to evaluate the capability of the measurement system under the two-component error model.
S.Co.2007. Fifth Conference. Complex Models and Computational Intensive Methods for Estimation and Prediction BOOK OF SHORT PAPER
439
444
M. Scagliarini; D. Cocchi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/50104
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