@inproceedings{61109,
  author       = {{Pottebaum, Jens and Gräßler, Iris and Ebel, Marcel and Özcan, Deniz and Döhner, Niklas and Pratzler-Wanczura, Sylvia and Derin, Enes and Krüger, Oliver and Kruijff-Korbayova, Ivana and Stampa, Merlin}},
  location     = {{Koblenz, Deutschland}},
  pages        = {{81--94}},
  publisher    = {{LibreCat University}},
  title        = {{{EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen zum Einsatz KI-generierter Lageinformationen für die Lagebewertung und Maßnahmenplanung in Extremwetterlagen}}},
  doi          = {{10.5281/ZENODO.16740824}},
  year         = {{2025}},
}

@inproceedings{62181,
  abstract     = {{<jats:p>This research investigates how Artificial Intelligence (AI) can be systematically integrated into existing business processes by combining suitable competencies with graphical AI workflow modelling. While AI offers a high potential for automation and increased efficiency, its implementation often fails due to a lack of interdisciplinary competencies that bridge the gap between domain expertise and IT know-how. Low-code platforms and visual modelling tools are increasingly recognised as enablers, empowering non-programmers to intuitively create graphical AI- based workflows. Nevertheless, specific competencies are required to realise the full potential of AI, the domain specific knowledge and align technical understanding with AI capabilities. The paper reviews the state of the art in AI-driven business process automation and competencies for visual low-code approaches. It then presents a practical solution to identify and systematise essential competence areas. Based on this, a practical competence model is developed to support the design of user-friendly, AI-enabled workflows. This is tested in a practical application context — emergency management — where it supports critical decision-making processes and is validated through expert feedback. The study concludes by offering actionable recommendations to help organisations foster the necessary competencies and methods for competently integrating AI into their digital processes.</jats:p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  location     = {{Split}},
  publisher    = {{AHFE International}},
  title        = {{{Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes}}},
  doi          = {{10.54941/ahfe1006785}},
  volume       = {{198}},
  year         = {{2025}},
}

@book{62182,
  abstract     = {{<p> Executive summary Die vorliegende Zukunftsstudie „Automation 2035“ gibt einen Ausblick auf die Entwicklung der Automatisierungstechnik in den nächsten 10 Jahren. Neben der Beschreibung von Trends wie Kreislaufwirtschaft, Automatisierung der Märkte, Biologisierung, autonome Systeme und Robotik sowie IT-Sicherheit wird die zu erwartende Veränderung in der Bildung beschrieben. Dazu verwenden wir Methoden der Zukunftsforschung und arbeiten mit der Szenarientechnik, um Zukunftsperspektiven der Automation aufzuzeigen. Personas werden eingesetzt, um die zukünftigen Entwicklungen plastisch aus den Augen der Personen im Jahr 2025 und in der Zukunft im Jahr 2035 zu beschreiben. Schlüsselthemen und Trends: ... ... Inhalt Executive summary 1 1 Einführung 3 2 Zukunftsfelder für die Automatisierungstechnik 2035 4 2.1 Kreislaufwirtschaft 4 2.2 Automatisierung der Märkte 7 2.3 Biologisierung 8 2.4 Autonome Systeme und Robotik 10 2.5 Security 12 2.6 Veränderung der Ausbildung 13 3 Szenario der Automation 2035 16 4 Personas 18 4.1 Unternehmer 18 4.2 Ingenieurin 19 4.3 Schüler 20 5 Thesen und Ausblick 22 Methodik 24 Autorenteam 25 Schrifttum 26... </p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz and Tusek, Alena Marie and Bilgic, Attila and Lange, Christian and Stich, Christian and Maul, Christine and Heizmann, Michael and Weyrich, Michael and Dessel,, Sascha and Miny, Torben and Jumar, Ulrich}},
  isbn         = {{9783911670180}},
  publisher    = {{VDI Verlag}},
  title        = {{{Automation 2035}}},
  doi          = {{10.51202/9783911670180}},
  year         = {{2025}},
}

@inproceedings{55431,
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{Automation 2024}},
  isbn         = {{9783181024379}},
  pages        = {{363–374}},
  publisher    = {{VDI Verlag}},
  title        = {{{Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme}}},
  doi          = {{10.51202/9783181024379-363}},
  volume       = {{2437}},
  year         = {{2024}},
}

@inproceedings{54540,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.</jats:p>}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Özcan, Deniz and Taplick, Patrick}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2545--2554}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Tailored metrics for assessing the quality of MBSE models}}},
  doi          = {{10.1017/pds.2024.257}},
  volume       = {{4}},
  year         = {{2024}},
}

@inproceedings{56346,
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{AHFE International}},
  location     = {{Split}},
  publisher    = {{AHFE International}},
  title        = {{{Quality Key Figures for Developing Future Scenarios}}},
  doi          = {{10.54941/ahfe1005553}},
  volume       = {{158}},
  year         = {{2024}},
}

@inproceedings{47108,
  author       = {{Gräßler, Iris and Özcan, Deniz and Preuß, Daniel}},
  booktitle    = {{Design fox X - Beiträge zum 34. DfX-Symposium}},
  editor       = {{Krause, Dieter and Paetzold-Byhain, Kristin and Wartzack, Sandro}},
  location     = {{Radebeul}},
  pages        = {{163 -- 172}},
  title        = {{{KI-basierte Extrahierung von Anforderungen aus Regularien für die Automobilentwicklung}}},
  doi          = {{10.35199/dfx2023.17}},
  volume       = {{34}},
  year         = {{2023}},
}

@inproceedings{46490,
  author       = {{Gräßler, Iris and Tusek, Alena Marie and Özcan, Deniz}},
  booktitle    = {{Automation 2023}},
  isbn         = {{9783181024195}},
  location     = {{Baden-Baden}},
  pages        = {{863 -- 874}},
  publisher    = {{VDI Verlag}},
  title        = {{{Entwicklung zukunftsfähiger Geschäftsmodelle in der Automatisierungstechnik anhand von Megatrends}}},
  doi          = {{10.51202/9783181024195-863}},
  volume       = {{2419}},
  year         = {{2023}},
}