Laukotka, Fabian NiklasFabian NiklasLaukotkaBerschik, Markus ChristianMarkus ChristianBerschikKrause, DieterDieterKrause2025-11-112025-11-112025-08-27Proceedings of the Design Society 5: 3201-3210 (2025)https://hdl.handle.net/11420/58604Retrofitting 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.en2732-527XProceedings of the Design Society202532013210Cambridge University Presshttps://creativecommons.org/licenses/by-nc-nd/4.0/document processingdigital/digitised engineering value chainsbig data, artificial intelligenceTechnology::629: Other Branches::629.1: Aviation::629.13: Aviation EngineeringTowards improving the information management of aircraft cabin retrofits by processing quantity-on-hand documentsJournal Articlehttps://doi.org/10.15480/882.1612210.1017/pds.2025.1033410.15480/882.16122Journal Article