Pharmaceutical
To cut down unscheduled maintenances by predicting equipment breakdowns
Breakdowns impact the production in a most crucial way specially during peak demands
Major breakdowns happen due to un maintained machinery
Production data
Breakdown trends data
Seasonal trends data
Machinery health data
Use of statistical models to combine breakdown data and seasonal production trends to predict equipment breakdowns and unit breakdowns
Multiple units can be utilized in parallel to share the loads in case the maintenance is not possible
Reduce unscheduled downtime by 80%
Decrease revenue impact by 20 – 30% due to production issues
