Multivariate quality control of batch processes using STATIS

Industrial batch processes are commonly used in the production of a variety of items. Data emerging from such processes present a peculiar structure, and a number of customized multivariate control charts (CCs) have been proposed for their monitoring. In this paper, we propose CCs based on STATIS method, an exploratory technique for measuring similarities between data matrices. Data are arranged in such a way that the monitoring along time is prioritized. The methodology easily allows a nonparametric online monitoring of complex batch processes in time, in situations where a large number of variables are present. Besides its presentation, the new approach is illustrated using simulated data.