Predictive Maintenance for Manufacturing

Challenge

Unplanned equipment downtime was costing the plant $45,000 per incident, with an average of 3.2 incidents per month. Maintenance was entirely reactive, and technicians had no visibility into machine health until failures occurred.

Solution

We deployed IoT sensor arrays on critical machinery and built a predictive maintenance platform that monitors vibration, temperature, and acoustic signatures. The system forecasts failure probability 48-72 hours in advance and auto-schedules maintenance windows.

Results

Technology Stack