Aerospace MRO

When design, maintenance and logistics teams are operating in isolation, it can lead to higher maintenance costs, lower reliability and a lack of available products. Ensuring the design process is closely integrated with maintenance and support requirements can prevent these issues.

By connecting real-world, as-maintained data to as-designed data, you can keep data in sync across the service lifecycle. Linking all field maintenance updates to the digital twin keeps all stakeholders up to date with the latest information and creates a complete and accurate view of assets, which enables proactive maintenance and reduces failures.

Optimizing your support system using in-service data can help drive confidence in your aerospace maintenance operations. Connecting all service engineering planning, support data analysis, and support and service data to the digital twin consolidates everything in one place. Stakeholders then have access to up-to-date technical publications, manuals and configuration data.

Solutions for optimized sustainment and availability, like those found in the Siemens Xcelerator portfolio, can help aerospace companies keep fleets operational and maximize service revenue through three key approaches: Designing for service and safety requirements early, connecting as-maintained data to as-designed data to keep data in sync across the full service lifecycle and optimizing the support system using in-service data to drive confidence in aerospace maintenance operations.

You can identify and mitigate risks by creating a digital twin that connects all data – both as-maintained and as-designed – across the full product and service lifecycle. Not only does this enable proactive maintenance, but it also reduces failure rates.

Product support data management can help drive efficiency and reduce costs while ensuring reliability and readiness of critical systems, bridging logistics data with service lifecycle management.