Ponente: Saivijay Thattukolla, CLS
The case study investigates AI-driven predictive maintenance strategies for pharmaceutical vial washers. It focuses on reducing downtime, improving reliability, and optimizing overall equipment performance. The work provides a practical, data-driven framework applicable in GMP manufacturing environments.
- Analysis of equipment failure patterns, sensor data, and operational deviations.
- Use of machine-learning models to predict failures and recommend preventive interventions.
- Evaluation of results that demonstrates significant reduction in breakdowns and measurable cost savings for manufacturers.
Saivijay Thattukolla
Production Engineer System Owner
CSL BEHRING
He works as production engineer system owner for the pharmaceutical fill finish line acting as a subject matter expert for the critical pharma equipment.
