AI Smart Manufacturing & Maintenance


Objective


Maximize plant uptime and throughput by predicting equipment failures and optimizing production schedules.

Methodology


Agile delivery: failure & process discovery, feature engineering on PLC, sensor & MES data, model training, and line validation.

Architecture


Cloud + edge stack unifying PLC, IoT, MES & CMMS data, a feature store, ML anomaly and scheduling models, and plant dashboards.

Solution


An automated platform delivering machine health scores, failure prediction, production scheduling, and bottleneck detection.

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