Causal Latent Space-Based Models in the Quality by Design Paradigm

This webinar explores how latent variable-based models like Partial Least Squares (PLS) serve as crucial tools in the Quality by Design (QbD) paradigm, particularly for analyzing the highly correlated datasets common in Industry 4.0 while maintaining causal relationships in reduced latent spaces. Learn about a specialized latent variable-based approach for defining raw material design spaces and specifications that ensure quality assurance with specific confidence levels for Critical Quality Attributes (CQAs). Discover how to implement effective process control systems that mitigate raw material variations through process variable manipulation. The 46-minute presentation introduces a novel latent space-based multivariate capability index for ranking raw material suppliers, creating a direct connection between raw material properties and CQAs, which enables supplier selection before manufacturing begins. Presented by Joan Borràs Ferrís, this session provides valuable insights for enhancing decision-making in quality management within manufacturing environments.