To achieve Agility in manufacturing – embrace Variability – Part 1
Posted 1526 days ago
Cycle Time Recovery
Faster Repair Times
Faster Investigations
Equipment Insights
Industry:
Life Sciences
Location:
USA
Hidden micro-stoppages reducing cycle utilization
High-speed data capture limitations
Manual, time-consuming root cause analysis
Unaddressed repetitive micro-failures impacting yields
Leveraging predictive reliability in pharma, the client improved cycle time recovery by 5%, reduced repair times fivefold, and achieved an 80% cut in manual investigation durations.
Real-time monitoring provided continuous insights, boosting overall operational productivity and consistency
Captured high-speed edge signals from servo-motor assets for contextual visibility
Deployed AutoML models to predict cycle time degradation and recommend real-time actions
Delivered maintenance guidance and fault predictions tailored to egg harvester subsystems
Quartic's predictive reliability capabilities transformed our egg-based vaccine manufacturing. Their AI-driven insights provided the visibility and proactive action we needed for operational excellence.