SIMCA

SIMCA is multivariate data analysis (MVDA) software from Sartorius's Umetrics product line, used to analyze manufacturing process and batch data that has too many correlated variables for classical single-variable SPC control charts to handle well, such as biopharmaceutical bioreactor runs or chemical batch processes. It applies techniques including principal component analysis (PCA) and partial least squares (PLS/OPLS) to identify which combinations of process parameters explain variation in outcome quality, flag batches that deviate from a trained normal-operating-conditions model, and predict final product quality from in-process measurements. SIMCA-Q, an embeddable version of the same modeling engine, lets manufacturers build these models into their own process-control or SCADA software rather than running the desktop application directly. It targets process engineers and process-analytical-technology (PAT) teams in biopharma and specialty chemical manufacturing who need to monitor processes with many interacting variables, complementing rather than replacing classical univariate SPC tools like InfinityQS.