Gauge measurement error is often an important source of variability in manufacturing applications. The aim of this work is to study the effect of multivariate measurement errors on multivariate capability indices computed using the principal component analysis. The results show that gauge imprecision may alter the multivariate process capability analysis and that the effect may be either a decrease or an increase in the apparent capability of the process.
Assessing Multivariate Process Capability in the Presence of Measurements Errors / Scagliarini. - STAMPA. - (2010), pp. 592-601. (Intervento presentato al convegno ENBIS-IMEKO TC21 Workshop on Measurement Systems and Process Improvement (MSPI) 2010 tenutosi a Teddington, Middlesex nel 19-20 Aprile).
Assessing Multivariate Process Capability in the Presence of Measurements Errors
SCAGLIARINI, MICHELE
2010
Abstract
Gauge measurement error is often an important source of variability in manufacturing applications. The aim of this work is to study the effect of multivariate measurement errors on multivariate capability indices computed using the principal component analysis. The results show that gauge imprecision may alter the multivariate process capability analysis and that the effect may be either a decrease or an increase in the apparent capability of the process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
