AI-based analysis and linking of technical and organisational data using graph models as a basis for decision-making in systems engineering
The increased complexity of development projects surpass the capabilities of existing methods. While Model Based Systems Engineering pursues technically holistic approaches to realize complex products, aspects of organization as well as risk management, are still considered separately. The identific...
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| creator | Katzung, Sebastian Cinkaya, Hüseyin Kizgin, Umut Volkan Savinov, Alexander Baschin, Julian Vietor, Thomas |
| description | The increased complexity of development projects surpass the capabilities of existing methods. While Model Based Systems Engineering pursues technically holistic approaches to realize complex products, aspects of organization as well as risk management, are still considered separately. The identification and management of risks are crucial in order to take suitable measures to minimize adverse effects on the project or the organization. To counter this, a new graph-based method and tool using AI, tailored to the needs of complex development projects and organizations is introduced here. |
| doi_str_mv | 10.1017/pds.2024.265 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 2732-527X |
| ispartof | Proceedings of the Design Society, 2024, Vol.4, p.2625-2634 |
| issn | 2732-527X 2732-527X |
| language | eng |
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| source | Cambridge Journals Open Access; ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central |
| subjects | Artificial intelligence Collaboration Decision making Design Interdisciplinary aspects Product development Product life cycle Project management Software development Software engineering Software quality Software upgrading Systems design Systems engineering |
| title | AI-based analysis and linking of technical and organisational data using graph models as a basis for decision-making in systems engineering |
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