Data-driven system modelling in the system generation engineering

Journal
Proceedings of the Design Society  
Volume
5
Start Page
1111
End Page
1120
Citation
Proceedings of the Design Society 5: 1111-1120 (2025)
Publisher DOI
10.1017/pds.2025.10125
Scopus ID
2-s2.0-105022791581
Publisher
Cambridge University Press
This work develops a method to integrate operational data into system models following MBSE principles. Empirical analysis reveals significant obstacles to data-driven development, including heterogeneous and non-transparent data structures, poor metadata documentation, insufficient data quality, lack of references, and limited data-driven mindset. A method based on the RFLP chain links operating data structures to logical-level elements. Data analyses are aligned with specific requirements or functional/physical elements, enabling systematic data-driven modeling. This method improves efficiency, fosters system knowledge development, and connects technical systems with operational data.
DDC Class
600: Technology
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