Generating additional Engineering Knowledge in Smart Product Value Creation Networks
Collaboration processes to enable model-based engineering of smart industrial product systems require the integration of heterogeneous engineering domains in different companies of dynamic value creation networks. To improve and accelerate engineering processes, a collaborative and compliant use of existing and developed system knowledge is crucial. This can be ensured by using a hybrid AI approach that reuses explicit design knowledge and Deep Learning-generated insights. The approach aims to map and cluster product- and process-related engineering knowledge by creating and linking heterogeneous engineering ontologies utilizing different nomenclatures. The engineering of the innovative function wireless charging point for mobile phones illustrates the approach.
Authors
- Andreas Emrich (ORCID: https://orcid.org/0000-0002-3821-2661)
- Damun Mollahassani (ORCID: https://orcid.org/0009-0006-1805-9803)
- Peter Fettke (ORCID: https://orcid.org/0000-0002-0624-4431)
- Jens C. Göbel (ORCID: https://orcid.org/0000-0001-7106-2143)
- M. Becker (ORCID: https://orcid.org/0009-0002-0363-2575)
Institutions
- University of Kaiserslautern (DE)
- German Research Centre for Artificial Intelligence (DE)
Publication Details
- Journal
- Procedia CIRP
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procir.2025.08.108
- Primary Topic
- Product Development and Customization
- Type
- article
- Field-Weighted Citation Impact
- 0.00