Predictive Maintenance

Predictive Maintenance

Boson Systems’ Predictive Maintenance solution uses real-time machine data and intelligent analytics to detect early signs of equipment failure—allowing pharmaceutical manufacturers to take corrective action before breakdowns occur. This proactive approach minimizes unplanned downtime, reduces maintenance costs, and increases overall equipment efficiency (OEE).

Key Benefits:

• Real-Time Equipment Monitoring: Continuously track performance indicators such as vibration, temperature, pressure, and cycle counts.
• AI-Driven Failure Prediction: Analyze historical and real-time data to forecast potential faults and schedule maintenance proactively.
• Reduced Downtime & Costs: Shift from reactive to predictive strategies to lower maintenance overhead and avoid costly production stoppages.
• Maintenance Alerts & Scheduling: Automatically generate alerts, maintenance tickets, and schedules based on equipment health status.
• Integration with MES & CMMS: Sync maintenance data with MES and Computerized Maintenance Management Systems for full traceability and workflow automation.

Our predictive maintenance module empowers pharma plants to extend equipment life, enhance product quality, and maintain compliance—all while reducing operational risk.