Towards improving the information management of aircraft cabin retrofits by processing quantity-on-hand documents

Retrofitting aircraft cabins is characterized by a large number of documents created and required, most of which are currently processed manually. Engineers need to identify which documents include the information that is required for a specific task. This paper proposes an approach that builds upon a digital knowledge base and moves towards automatically processing the quantity-on-hand documents to reduce the work required to identify the required documents without the labour-intensive creation of the knowledge base in beforehand. After describing the scenario this work faces, comparable approaches and promising techniques are discussed. A process-chain that builds upon these fundamentals is presented, including a selection of feasible techniques and algorithms. Finally, the steps towards an implementation as part of the transformation towards a data-driven value chain are presented.

Subjects

document processing

digital/digitised engineering value chains

big data, artificial intelligence

DDC Class

629.13: Aviation Engineering

Lizenz

https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication version

publishedVersion

Name

towards-improving-the-information-management-of-aircraft-cabin-retrofits-by-processing-quantity-on-hand-documents.pdf

Type

Main Article

Size

544.62 KB

Format

Adobe PDF

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Towards improving the information management of aircraft cabin retrofits by processing quantity-on-hand documents