Alternative definitions of Multivariate Process Capability Indices (MPCIs), based on different approaches, have been proposed in literature. The research works related to MCPIs assume no gauge measurement errors. However, in industrial applications, despite the use of highly advanced measuring instruments, account needs to be taken of gauge imprecision. In this paper we study the effects of measurement errors on multivariate capability indices computed using the principal components analysis. The results show that measurement errors can alter the results of a multivariate process capability analysis.
Gauge imprecision and multivariate process capability analysis / M. Scagliarini. - STAMPA. - (2009), pp. 387-392. (Intervento presentato al convegno S.Co.2009, Sixth Conference, Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction. tenutosi a Politecnico di Milano nel 14-16 Settembre, 2009).
Gauge imprecision and multivariate process capability analysis
SCAGLIARINI, MICHELE
2009
Abstract
Alternative definitions of Multivariate Process Capability Indices (MPCIs), based on different approaches, have been proposed in literature. The research works related to MCPIs assume no gauge measurement errors. However, in industrial applications, despite the use of highly advanced measuring instruments, account needs to be taken of gauge imprecision. In this paper we study the effects of measurement errors on multivariate capability indices computed using the principal components analysis. The results show that measurement errors can alter the results of a multivariate process capability analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
