M. Weiss, E. Grishchenko, F. Raddatz, G. Wende

In the age of data-driven aviation, enabling seamless, standardized, and sovereign collaboration among all participating stakeholders remains a critical challenge. Central to this is the task of ensuring and restoring product conformity – spanning from quality assurance during manufacturing to non-conformity resolution in MRO operations and manufacturing. A promising approach to this challenge is the concept of self-managed, digitally represented assets in the form of Industry 4.0 Asset Administration Shells that autonomously coordi-nate their own quality-related services within choreographed, federated data spaces. The paper demonstrates this vision through an analysis of a jet-engine blade use case, confirming feasibility of federated inspection while revealing limits in registration accuracy and sensor resolution.

Deutscher Luft- und Raumfahrtkongress 2025, Augsburg

Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2025

Conference Paper

englisch

21,0 x 29,7 cm, 11 Seiten

urn:nbn:de:101:1-2510311026169.550911888407

10.25967/650135

Manufacturing, MRO, Industry 4.0

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Weiss, M.; Grishchenko, E.; et al. (2025): MaSiMO: Autonomous Quality Inspection in Aviation MRO and Manufacturing Using Asset Administration Shell, Digital Product Passport and Eclipse Dataspace Connector. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/650135. urn:nbn:de:101:1-2510311026169.550911888407.

31.10.2025