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Operational Intelligence
Predictive Maintenance System
Overview
Reactive maintenance approach led to unexpected downtime, higher costs, and disrupted operations when equipment failed unexpectedly.
The Challenge
Reactive maintenance approach led to unexpected downtime, higher costs, and disrupted operations when equipment failed unexpectedly.
Our Approach
Developed predictive models analyzing sensor data and historical patterns to forecast maintenance needs before failures occurred.
The Outcome
Shifted from reactive to proactive maintenance, reducing unexpected downtime and optimizing maintenance schedules based on actual equipment condition.
What Was Delivered
- Time-series modeling
- Anomaly detection
- Alert system
- Dashboard for maintenance teams
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