yield-prediction

Audit pharmaceutical yield prediction systems and process analytical technology -- evaluate critical process parameter (CPP) to critical quality attribute (CQA) relationships, design space characterization per ICH Q8(R2) Quality by Design, PAT sensor readiness (NIR, Raman, FBRM) for real-time release testing, scale-up modeling from lab to pilot to commercial with dimensional analysis, and raw material variability impact on batch yield. Covers multivariate analysis with PCA and PLS regression, golden batch trajectory profiling, Hotelling T-squared deviation detection, supplier lot-to-lot CMA variability, formulation robustness assessment, MES and historian data quality, and technology transfer risk assessment for multi-site manufacturing.