Non Parametric Control Chart by Multivariate Additive Partial Least Squares via Spline

In this paper a non-parametric multivariate process control chart has been proposed for monitoring a manifacturing process. By simultaneously monitoring process and product variables, MAPLSS-T2 chart quickly detects and diagnoses unusual events that may occur during the process. The proposed non-parametric control chart allows to handle collinear variables,missing values, outliers and interactions between variables, without imposing any distributional assumption. Further developments of this work could be related to the construction of a chart of the Squared Prediction Error (SPE; Kourti and MacGregor, 1996) on MAPLSS model, in order to monitor any change in the covariance structure and verify that the process conditions during the monitoring stage are not dierent with respect to the time the in control MAPLSS model was developed.