Monte Carlo Simulation For GMP Manufacturing And Control A Real World Hands On Toolkit To Tackle Variability Uncertainty And Risk In Pharmaceutical Production And Testing For Compliance And Quality
UPC:
✔️ Real world Monte Carlo methods for GMP QA, CPV, and risk
Monte Carlo Simulation for GMP Manufacturing and Control is a practical, hands-on toolkit designed for QA/QC professionals, manufacturing engineers, and regulators. It shows how to turn variability, uncertainty, and risk into quantitative, decision-relevant insights used in batch release, process validation, and ongoing process verification.
✅ 280 pages
✅ Edition: 1
✅ Author: Riccardo Bonfichi
✅ Focused on GMP manufacturing and control with practical Monte Carlo case studies
✅ Reproducible examples in R, no proprietary software required
✅ Distinguishes variability vs uncertainty with GMP interpretations
✅ Topics include assay, dissolution, CPV, stability, sampling, and measurement uncertainty
✅ Aligns with ICH Q9/Q10/Q11/Q14 and USP 1210/1220 guidelines
💡 What is a Monte Carlo simulation used for in GMP manufacturing and control? In short, it turns uncertain data into actionable risk information for quality and compliance. - Quantifies variability in batch release, process validation, CPV - Supports risk-based decisions aligned with ICH Q9 Q10 Q11 Q14 and USP guidelines - Provides predictive intervals and OOS probability for release decisions - Includes reproducible examples in R for transparency
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