Manufacturing Case Study
Predictive Maintenance for Smart Factories
Client: IndustriX
Impact Area
Manufacturing
100%
Downtime Reduction
-35%
Maintenance Cost
+25%
Asset Lifespan
Zero
Safety Incidents
The Challenge
IndustriX was losing millions due to unplanned downtime in their assembly lines. Their reactive maintenance schedule meant parts were only replaced after failure.
The Solution
We implemented an IIoT sensory overlay coupled with a deep-learning predictive engine that forecasts component failure 72 hours in advance with 98% accuracy.
Key Results
Achieved 14 months of zero unplanned downtime across 3 factories.
Reduced emergency repair costs by $4.2M in the first year.
Increased overall equipment effectiveness (OEE) from 64% to 89%.
Automated maintenance scheduling integrated with ERP systems.