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CoreXAlpha
Manufacturing

Predictive Maintenance and Production Forecasting

Failure prediction from sensor data, plus weekly production planning forecasts.

Client
Poyraz Üretim
Sector
Manufacturing
Duration
7 months
Year
2024
−51%
Unplanned downtime
−29%
Maintenance cost
< 6%
Forecast error

Starting point

Unplanned downtime was the single largest source of lost output. Sensor data was collected but never used.

Our approach

  1. 1Centralised production-line sensor data in a time-series store.
  2. 2Developed an anomaly detection model that recognises pre-failure signatures.
  3. 3Built an alerting system that produces a prioritised work list for maintenance.
  4. 4Added a forecasting module linking demand prediction to production planning.

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Let’s build the future together

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