Multivariate measurement systems analysis is usually performed by designing suitable gauge R&R experiments ignoring available data generated by the measurement system while used for inspection or process control. This article proposes an approach that, using the data that are routinely available from the regular activity of the instrument, offers the possibility of assessing multivariate measurement systems without the necessity of performing a multivariate gauge study. It can be carried out more frequently than a multivariate gauge R&R experiment, since it can be implemented at almost no additional cost. Therefore the synergic use of the proposed approach and the traditional multivariate gauge R&R studies can be a useful strategy for improving the overall quality of multivariate measurement systems and is effective for reducing the costs of a multivariate MSA performed with a certain frequency.
A method for assessing multivariate measurement systems
SCAGLIARINI, MICHELE
2014
Abstract
Multivariate measurement systems analysis is usually performed by designing suitable gauge R&R experiments ignoring available data generated by the measurement system while used for inspection or process control. This article proposes an approach that, using the data that are routinely available from the regular activity of the instrument, offers the possibility of assessing multivariate measurement systems without the necessity of performing a multivariate gauge study. It can be carried out more frequently than a multivariate gauge R&R experiment, since it can be implemented at almost no additional cost. Therefore the synergic use of the proposed approach and the traditional multivariate gauge R&R studies can be a useful strategy for improving the overall quality of multivariate measurement systems and is effective for reducing the costs of a multivariate MSA performed with a certain frequency.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
