To achieve Agility in manufacturing – embrace Variability – Part 1
Posted 1706 days ago
Higher MTBF
Reduction in Unnecessary Maintenance
Asset Risk Visibility
Annual Uptime Gain
Industry
Life Sciences
Location
USA
Frequent planned downtimes causing productivity losses
Ineffective condition-based monitoring across batches
Lack of historical failure data limiting insights
Need for reliable process optimization software in pharma manufacturing
Deploying AI-driven maintenance solutions allowed the client to significantly increase MTBF from 7 to 90 days. Predictive maintenance eliminated unnecessary service activities, translating to 7 days additional uptime annually. This directly improved asset utilization and productivity.
Unified asset, batch, and process data streams to enable contextual monitoring.
Delivered predictive surveillance and anomaly detection for proactive maintenance.
Quartic's predictive maintenance transformed our plant reliability. Their AI-driven maintenance solutions allowed us to proactively manage equipment health and dramatically improve our operational efficiency.