Manufacturing
Line Maintenance Forecasting
Sensor-driven failure prediction for packaging lines across four plants.
- Less unplanned downtime
- 27%
- Payback period
- 6 wks
- Stack
- TimescaleDBPyTorchGrafanaMQTT
The challenge
Unexpected equipment failures were halting lines and wasting materials.
Our approach
- 01Unified sensor data from mixed PLC vendors
- 02Trained anomaly and remaining-life models per asset type
- 03Surfaced alerts in the technicians' existing tablet app
More work
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Tell us what you want to change.
Bring the problem, the number it should move and your deadline. We will come back with a plan within a week.