Summary
Applied machine learning to predict equipment and system failures in drug manufacturing plants. Integrated operational and maintenance data to monitor asset health and detect anomalies early. Reduced production disruptions, prevented batch losses, and lowered maintenance costs. Improved throughput and ensured reliable therapy supply.