Reducing downtime by 50% with predictive maintenance
Manufacturing facility | Manufacturing | 7 months
The challenge
Unexpected equipment failures were causing costly production downtime. The reactive maintenance approach was inefficient and led to both over-maintenance and unexpected breakdowns.
Our solution
We deployed an IoT-based predictive maintenance system that monitors equipment health in real-time, predicts failures before they occur, and optimises maintenance schedules based on actual equipment condition.
Results
- ✓50% reduction in unplanned downtime
- ✓35% decrease in maintenance costs
- ✓20% increase in equipment lifespan
- ✓Optimised maintenance resource allocation
Technologies used
PythonAzure IoTTime Series Analytics
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