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 / M. Scagliarini; D. Cocchi. - STAMPA. - (2007), pp. 439-444. (Intervento presentato al convegno Convegno: S.Co.2007, Complex Models and Computational Intensive Methods for Estimation and Prediction tenutosi a Venezia nel Settembre 6-8 2007).
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
