Plant Maintenance With Sap Practical Guide Aws Site

“Hans,” she said. “The spare part is a FAG Bearing X-life 32048-X. It is in Bin 7, Row C, at the Cuxhaven depot.”

That night, back on shore, the CFO called.

Behind the scenes, AWS functions triggered a Amazon SageMaker model. The model ingested five years of vibration data from the turbine’s IoT sensors, which was stored not on a slow hard drive in Hamburg, but in Amazon S3 —the petabyte-scale storage lake.

But they had a problem. The Cuxhaven depot was 80 km away. The service van could make it in an hour. The turbine would fail in 22 minutes. Plant Maintenance With Sap Practical Guide Aws

They landed the drone on the turbine’s nacelle platform with two minutes to spare. Hans and his team, guided by the AR headset (powered by for ultra-low latency), replaced the bearing in a record 47 minutes.

The next morning, Anja ran a report: . But she didn't run it on SAP. She ran it on Amazon QuickSight , which queried the SAP data in S3. The dashboard showed a 99.99% uptime for the quarter.

The CFO was silent.

Three months ago, the board had approved Project Nordlicht —migrating their SAP Plant Maintenance (PM) module to Amazon Web Services (AWS). The consultants called it “RISE with SAP on AWS.” Anja called it her only hope.

“How do you know? Inventory hasn’t been updated since Tuesday.”

Hans, the shift lead, groaned. “Manual? Anja, that means we need the full maintenance history, the spare part bin location, and the step-by-step overhaul protocol. The SAP GUI is crawling like a frozen slug.” “Hans,” she said

She closed her laptop. The wind was picking up. Turbine 7 was spinning at full capacity.

She opened the SAP PM transaction code (Create Notification). But on AWS, it wasn't slow. Thanks to AWS Direct Connect (a private fiber link from the wind farm to the cloud), the notification posted instantly. The system automatically created a maintenance order.