Monday March 24, 15.00 (CET) Joan Borràs from Kensight talked about causal models and QbD:
Latent variable-based models, such as Partial Least Squares (PLS), are essential tools in the Quality by Design (QbD) paradigm, enabling the analysis of highly correlated datasets, typical of Industry 4.0, while preserving causal relationships in the reduced latent space. Aligned with the QbD initiative, this webinar presents a latent variable-based approach to define the raw material design space (i.e., raw material specifications) that ensures quality assurance with a given confidence level for Critical Quality Attributes (CQAs). Additionally, an effective process control system attenuating most raw material variations is implemented by manipulating process variables. A novel latent space-based multivariate capability index is also introduced to rank raw material suppliers, establishing a direct link between raw material properties and CQAs. This index facilitates supplier selection before manufacturing a single unit of the product, enhancing decision-making in quality management.
You can find the webinar here and also the slides