Manufacturing processes are often based on more than one quality characteristic. When these variables are correlated the process capability analysis should be performed using multivariate statistical methodologies. Although there is a growing interest in meth- ods for evaluating the capability of multivariate processes, little attention has been given to developing user friendly software for supporting multivariate capability analysis. In this work we introduce the package MPCI for R, which allows to compute multivariate process capability indices. MPCI aims to provide a useful tool for dealing with multivari- ate capability assessment problems. We illustrate the use of MPCI package through both simulated and real examples.
M. Scagliarini, E. Santos-Fernández (2012). MPCI: An R Package for Computing Multivariate Process Capability Indices. JOURNAL OF STATISTICAL SOFTWARE, 47(7), 1-15.
MPCI: An R Package for Computing Multivariate Process Capability Indices
SCAGLIARINI, MICHELE;
2012
Abstract
Manufacturing processes are often based on more than one quality characteristic. When these variables are correlated the process capability analysis should be performed using multivariate statistical methodologies. Although there is a growing interest in meth- ods for evaluating the capability of multivariate processes, little attention has been given to developing user friendly software for supporting multivariate capability analysis. In this work we introduce the package MPCI for R, which allows to compute multivariate process capability indices. MPCI aims to provide a useful tool for dealing with multivari- ate capability assessment problems. We illustrate the use of MPCI package through both simulated and real examples.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.