Predictive Maintenance for Smart Factories

Typical outcomes for this kind of engagement. Results depend on your data and starting point.

Unplanned downtime is often the largest source of margin erosion for industrial manufacturers.

• Unplanned failures as the largest source of margin erosion
• Calendar-based maintenance over-servicing healthy assets and missing degrading ones
• No cross-plant visibility for benchmarking

CloudGate builds a smart factory platform combining IoT sensor monitoring of critical equipment through Azure IoT Hub, Azure Digital Twins models of failure modes, and Azure Machine Learning predictions that raise work orders in the CMMS before failure.

• Sensor-based condition monitoring of critical production equipment
• Digital twin asset models capturing failure modes and degradation
• ML failure prediction with lead time and confidence per alert