In this paper a useful multivariate statistical process control method is proposed. In spite of the complexity of a multivariate process control problem, the proposed strategy leads to simple multivariate SPC charts. This method allows to handle non-linear dependence relationships in data structure, missing values and outliers. By simultaneously monitoring input and output variables, it quickly detects and diagnoses unusual events that may occur during the process. Real and simulated applications will illustrate the capabilities of the PLSS chart.
Multivariate Control Chart by Non linear PLS / Vanacore, Amalia; Lombardo, R.. - STAMPA. - (2005), pp. 525-528. (Intervento presentato al convegno CLADAG 2005, International Conference on Classification and Data Analysis tenutosi a PARMA nel 6-8 giugno 2005).
Multivariate Control Chart by Non linear PLS
VANACORE, AMALIA;
2005
Abstract
In this paper a useful multivariate statistical process control method is proposed. In spite of the complexity of a multivariate process control problem, the proposed strategy leads to simple multivariate SPC charts. This method allows to handle non-linear dependence relationships in data structure, missing values and outliers. By simultaneously monitoring input and output variables, it quickly detects and diagnoses unusual events that may occur during the process. Real and simulated applications will illustrate the capabilities of the PLSS chart.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
