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Service & Maintenance · Service
Operational Intelligence / Operations & Maintenance Twin
Asset service twin for condition-aware maintenance
Live Core high effect
Core capability
The system gives a current operational picture of equipment condition, helping teams manage service, risk, and performance more proactively.
How it works
The digital twin stays synchronized with real equipment using live operational data and uses that updated view to support condition monitoring, service planning, and earlier intervention.
Application here
A live digital model of each asset combines sensor data with service history to recommend the right maintenance timing.
Business impact
This supports more condition-aware service, helping reduce both downtime and unnecessary maintenance cost.
Limitations
It depends on reliable field sensors and regular recalibration. Accuracy can decline as assets age or usage conditions change.
In production
This is already valuable for maintaining a current view of equipment condition and supporting service decisions with more context than raw telemetry alone.
Research
The frontier is toward twins that remain aligned with reality with far less manual tuning, even as equipment, maintenance history, and operating conditions evolve.
Examples
ADAC Automotive Real-Time Downtime Visibility
Description: ADAC Automotive implemented real-time monitoring across 287 assembly assets and 58 molding machines in four facilities. Sensor data and automated reporting capture equipment conditions, enabling cycle-based maintenance based on usage. This reduced weekly PMs by 26% and boosted OEE by 15 points in six months.



Digital Twins in Maintenance Operations Report
Description: Manufacturing facilities use digital twins as live asset models integrating IoT sensors for real-time condition monitoring and predictive analytics. Virtual replicas simulate scenarios to schedule maintenance precisely, cutting unplanned downtime 25-30% and extending equipment life 20-25% versus traditional methods. Phased rollout starts with critical assets.



Anglo American Platinum Haul Road Digital Twins
Description: Anglo American Platinum deployed digital twins at Mogalakwena mine to model truck haulage performance with live data. Virtual models compared actual vs. simulated speeds, optimizing routes and reducing cycle times by 23% while improving empty truck speeds 40%. Supports proactive equipment maintenance planning.
https://www.plantengineering.com/adac-automotive-gains-real-time-visibility-into-root-causes-of-machine-downtime/https://oxmaint.com/blog/post/digital-twins-in-maintenance-operationshttps://www.angloamerican.com/~/media/Files/A/Anglo-American-Group/PLC/media/presentations/2021pres/anglo-american-technical-and-innovation-update-2021.pdf
Sources
GE Vernova APM — ; Siemens Teamcenter —
https://www.gevernova.com/software/products/apmhttps://plm.sw.siemens.com/en-US/teamcenter/