Can Assumption-Free Batch Modeling Eliminate Processing Uncertainties?

Today, univariate control charts are used to monitor product characteristics and key process variables throughout processing. Unfortunately, these variables are, in most cases, not independent of one another and do not necessarily characterize product quality accurately. The ideal solution is to apply a method that not only uses multivariate data analysis (MVA) but also uses the batch trajectory to predict development in real time rather than relying on assumptions.