---
_id: '61109'
author:
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Marcel
full_name: Ebel, Marcel
id: '81788'
last_name: Ebel
orcid: https://orcid.org/0009-0007-5400-4436
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
- first_name: Niklas
full_name: Döhner, Niklas
id: '108017'
last_name: Döhner
orcid: https://orcid.org/0009-0005-7676-4036
- first_name: Sylvia
full_name: Pratzler-Wanczura, Sylvia
last_name: Pratzler-Wanczura
- first_name: Enes
full_name: Derin, Enes
last_name: Derin
- first_name: Oliver
full_name: Krüger, Oliver
last_name: Krüger
- first_name: Ivana
full_name: Kruijff-Korbayova, Ivana
last_name: Kruijff-Korbayova
- first_name: Merlin
full_name: Stampa, Merlin
last_name: Stampa
citation:
ama: 'Pottebaum J, Gräßler I, Ebel M, et al. EU-Projekt CREXDATA: Erkenntnisse und
Handlungsempfehlungen zum Einsatz KI-generierter Lageinformationen für die Lagebewertung
und Maßnahmenplanung in Extremwetterlagen. Published online 2025:81-94. doi:10.5281/ZENODO.16740824'
apa: 'Pottebaum, J., Gräßler, I., Ebel, M., Özcan, D., Döhner, N., Pratzler-Wanczura,
S., Derin, E., Krüger, O., Kruijff-Korbayova, I., & Stampa, M. (2025). EU-Projekt
CREXDATA: Erkenntnisse und Handlungsempfehlungen zum Einsatz KI-generierter Lageinformationen
für die Lagebewertung und Maßnahmenplanung in Extremwetterlagen (pp. 81–94).
LibreCat University. https://doi.org/10.5281/ZENODO.16740824'
bibtex: '@article{Pottebaum_Gräßler_Ebel_Özcan_Döhner_Pratzler-Wanczura_Derin_Krüger_Kruijff-Korbayova_Stampa_2025,
series={Tagungsband der 71. Jahresfachtagung der Vereinigung zur Förderung des
Deutschen Brandschutzes (vfdb) e.V. 2025}, title={EU-Projekt CREXDATA: Erkenntnisse
und Handlungsempfehlungen zum Einsatz KI-generierter Lageinformationen für die
Lagebewertung und Maßnahmenplanung in Extremwetterlagen}, DOI={10.5281/ZENODO.16740824},
publisher={LibreCat University}, 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},
year={2025}, pages={81–94}, collection={Tagungsband der 71. Jahresfachtagung der
Vereinigung zur Förderung des Deutschen Brandschutzes (vfdb) e.V. 2025} }'
chicago: 'Pottebaum, Jens, Iris Gräßler, Marcel Ebel, Deniz Özcan, Niklas Döhner,
Sylvia Pratzler-Wanczura, Enes Derin, Oliver Krüger, Ivana Kruijff-Korbayova,
and Merlin Stampa. “EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen
zum Einsatz KI-generierter Lageinformationen für die Lagebewertung und Maßnahmenplanung
in Extremwetterlagen.” Tagungsband der 71. Jahresfachtagung der Vereinigung zur
Förderung des Deutschen Brandschutzes (vfdb) e.V. 2025. LibreCat University, 2025.
https://doi.org/10.5281/ZENODO.16740824.'
ieee: 'J. Pottebaum et al., “EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen
zum Einsatz KI-generierter Lageinformationen für die Lagebewertung und Maßnahmenplanung
in Extremwetterlagen.” LibreCat University, pp. 81–94, 2025, doi: 10.5281/ZENODO.16740824.'
mla: 'Pottebaum, Jens, et al. EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen
zum Einsatz KI-generierter Lageinformationen für die Lagebewertung und Maßnahmenplanung
in Extremwetterlagen. LibreCat University, 2025, pp. 81–94, doi:10.5281/ZENODO.16740824.'
short: J. Pottebaum, I. Gräßler, M. Ebel, D. Özcan, N. Döhner, S. Pratzler-Wanczura,
E. Derin, O. Krüger, I. Kruijff-Korbayova, M. Stampa, (2025) 81–94.
conference:
end_date: 2025-05-28
location: Koblenz, Deutschland
name: 71. Jahresfachtagung der Vereinigung zur Förderung des Deutschen Brandschutzes
(vfdb) e.V. 2025 (vfdb JFT 2025)
start_date: 2025-05-26
date_created: 2025-09-01T10:37:47Z
date_updated: 2025-09-01T10:44:51Z
department:
- _id: '152'
doi: 10.5281/ZENODO.16740824
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://zenodo.org/records/16740824
oa: '1'
page: 81-94
project:
- _id: '516'
name: 'CREXDATA: Kritische Maßnahmenplanung über extreme Datenmengen'
publication_identifier:
unknown:
- 978-3-936050-40-0
publisher: LibreCat University
quality_controlled: '1'
series_title: Tagungsband der 71. Jahresfachtagung der Vereinigung zur Förderung des
Deutschen Brandschutzes (vfdb) e.V. 2025
status: public
title: 'EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen zum Einsatz KI-generierter
Lageinformationen für die Lagebewertung und Maßnahmenplanung in Extremwetterlagen'
type: conference
user_id: '81788'
year: '2025'
...
---
_id: '62181'
abstract:
- lang: eng
text: 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.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
citation:
ama: 'Gräßler I, Özcan D. Graphical AI workflow modelling: Identifying relevant
competencies in AI-based automation of business processes. In: AHFE International.
Vol 198. AHFE International; 2025. doi:10.54941/ahfe1006785'
apa: 'Gräßler, I., & Özcan, D. (2025). Graphical AI workflow modelling: Identifying
relevant competencies in AI-based automation of business processes. AHFE International,
198. https://doi.org/10.54941/ahfe1006785'
bibtex: '@inproceedings{Gräßler_Özcan_2025, title={Graphical AI workflow modelling:
Identifying relevant competencies in AI-based automation of business processes},
volume={198}, DOI={10.54941/ahfe1006785},
booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler,
Iris and Özcan, Deniz}, year={2025} }'
chicago: 'Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying
Relevant Competencies in AI-Based Automation of Business Processes.” In AHFE
International, Vol. 198. AHFE International, 2025. https://doi.org/10.54941/ahfe1006785.'
ieee: 'I. Gräßler and D. Özcan, “Graphical AI workflow modelling: Identifying relevant
competencies in AI-based automation of business processes,” in AHFE International,
Split, 2025, vol. 198, doi: 10.54941/ahfe1006785.'
mla: 'Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying
Relevant Competencies in AI-Based Automation of Business Processes.” AHFE International,
vol. 198, AHFE International, 2025, doi:10.54941/ahfe1006785.'
short: 'I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2025.'
conference:
end_date: 2025-09-24
location: Split
name: '7th International Conference on Human Systems Engineering and Design: Future
Trends and Applications (IHSED 2025)'
start_date: 2025-09-22
date_created: 2025-11-13T16:37:59Z
date_updated: 2025-11-13T16:41:39Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.54941/ahfe1006785
intvolume: ' 198'
language:
- iso: eng
publication: AHFE International
publication_identifier:
issn:
- 2771-0718
publication_status: published
publisher: AHFE International
quality_controlled: '1'
status: public
title: 'Graphical AI workflow modelling: Identifying relevant competencies in AI-based
automation of business processes'
type: conference
user_id: '58595'
volume: 198
year: '2025'
...
---
_id: '62182'
abstract:
- lang: eng
text: ' 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...
'
alternative_title:
- VDI-Studie
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
- first_name: Alena Marie
full_name: Tusek, Alena Marie
id: '59370'
last_name: Tusek
- first_name: Attila
full_name: Bilgic, Attila
last_name: Bilgic
- first_name: Christian
full_name: Lange, Christian
last_name: Lange
- first_name: Christian
full_name: Stich, Christian
last_name: Stich
- first_name: Christine
full_name: Maul, Christine
last_name: Maul
- first_name: Michael
full_name: Heizmann, Michael
last_name: Heizmann
- first_name: Michael
full_name: Weyrich, Michael
last_name: Weyrich
- first_name: Sascha
full_name: Dessel,, Sascha
last_name: Dessel,
- first_name: Torben
full_name: Miny, Torben
last_name: Miny
- first_name: Ulrich
full_name: Jumar, Ulrich
last_name: Jumar
citation:
ama: Gräßler I, Özcan D, Tusek AM, et al. Automation 2035. VDI Verlag; 2025.
doi:10.51202/9783911670180
apa: Gräßler, I., Özcan, D., Tusek, A. M., Bilgic, A., Lange, C., Stich, C., Maul,
C., Heizmann, M., Weyrich, M., Dessel, S., Miny, T., & Jumar, U. (2025). Automation
2035. VDI Verlag. https://doi.org/10.51202/9783911670180
bibtex: '@book{Gräßler_Özcan_Tusek_Bilgic_Lange_Stich_Maul_Heizmann_Weyrich_Dessel,_et
al._2025, title={Automation 2035}, DOI={10.51202/9783911670180},
publisher={VDI Verlag}, 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 et al.}, year={2025}
}'
chicago: Gräßler, Iris, Deniz Özcan, Alena Marie Tusek, Attila Bilgic, Christian
Lange, Christian Stich, Christine Maul, et al. Automation 2035. VDI Verlag,
2025. https://doi.org/10.51202/9783911670180.
ieee: I. Gräßler et al., Automation 2035. VDI Verlag, 2025.
mla: Gräßler, Iris, et al. Automation 2035. VDI Verlag, 2025, doi:10.51202/9783911670180.
short: I. Gräßler, D. Özcan, A.M. Tusek, A. Bilgic, C. Lange, C. Stich, C. Maul,
M. Heizmann, M. Weyrich, S. Dessel, T. Miny, U. Jumar, Automation 2035, VDI Verlag,
2025.
date_created: 2025-11-13T16:43:05Z
date_updated: 2025-11-13T16:48:43Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.51202/9783911670180
language:
- iso: eng
publication_identifier:
isbn:
- '9783911670180'
publication_status: published
publisher: VDI Verlag
quality_controlled: '1'
status: public
title: Automation 2035
type: book
user_id: '58595'
year: '2025'
...
---
_id: '55431'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
citation:
ama: 'Gräßler I, Özcan D. Anwendungspotenziale von Künstlicher Intelligenz im Model-Based
Systems Engineering für automatisierte Systeme. In: VDI Wissensforum GmbH, ed.
Automation 2024. Vol 2437. AI beats Automation? VDI Verlag; 2024:363–374.
doi:10.51202/9783181024379-363'
apa: Gräßler, I., & Özcan, D. (2024). Anwendungspotenziale von Künstlicher Intelligenz
im Model-Based Systems Engineering für automatisierte Systeme. In VDI Wissensforum
GmbH (Ed.), Automation 2024 (Vol. 2437, pp. 363–374). VDI Verlag. https://doi.org/10.51202/9783181024379-363
bibtex: '@inproceedings{Gräßler_Özcan_2024, place={Düsseldorf}, series={AI beats
Automation?}, title={Anwendungspotenziale von Künstlicher Intelligenz im Model-Based
Systems Engineering für automatisierte Systeme}, volume={2437}, DOI={10.51202/9783181024379-363},
booktitle={Automation 2024}, publisher={VDI Verlag}, author={Gräßler, Iris and
Özcan, Deniz}, editor={VDI Wissensforum GmbH}, year={2024}, pages={363–374}, collection={AI
beats Automation?} }'
chicago: 'Gräßler, Iris, and Deniz Özcan. “Anwendungspotenziale von Künstlicher
Intelligenz im Model-Based Systems Engineering für automatisierte Systeme.” In
Automation 2024, edited by VDI Wissensforum GmbH, 2437:363–374. AI beats
Automation? Düsseldorf: VDI Verlag, 2024. https://doi.org/10.51202/9783181024379-363.'
ieee: 'I. Gräßler and D. Özcan, “Anwendungspotenziale von Künstlicher Intelligenz
im Model-Based Systems Engineering für automatisierte Systeme,” in Automation
2024, 2024, vol. 2437, pp. 363–374, doi: 10.51202/9783181024379-363.'
mla: Gräßler, Iris, and Deniz Özcan. “Anwendungspotenziale von Künstlicher Intelligenz
im Model-Based Systems Engineering für automatisierte Systeme.” Automation
2024, edited by VDI Wissensforum GmbH, vol. 2437, VDI Verlag, 2024, pp. 363–374,
doi:10.51202/9783181024379-363.
short: 'I. Gräßler, D. Özcan, in: VDI Wissensforum GmbH (Ed.), Automation 2024,
VDI Verlag, Düsseldorf, 2024, pp. 363–374.'
conference:
end_date: 2024-07-03
name: VDI Automation
start_date: 2024-07-02
corporate_editor:
- VDI Wissensforum GmbH
date_created: 2024-07-30T10:02:55Z
date_updated: 2024-07-30T10:14:51Z
department:
- _id: '152'
doi: 10.51202/9783181024379-363
intvolume: ' 2437'
language:
- iso: ger
page: 363–374
place: Düsseldorf
publication: Automation 2024
publication_identifier:
isbn:
- '9783181024379'
publication_status: published
publisher: VDI Verlag
quality_controlled: '1'
series_title: AI beats Automation?
status: public
title: Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering
für automatisierte Systeme
type: conference
user_id: '58595'
volume: 2437
year: '2024'
...
---
_id: '54540'
abstract:
- lang: eng
text: 'AbstractSystem 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.'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Dominik
full_name: Wiechel, Dominik
id: '67161'
last_name: Wiechel
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
- first_name: Patrick
full_name: Taplick, Patrick
last_name: Taplick
citation:
ama: 'Gräßler I, Wiechel D, Özcan D, Taplick P. Tailored metrics for assessing the
quality of MBSE models. In: Proceedings of the Design Society. Vol 4. Cambridge
University Press (CUP); 2024:2545-2554. doi:10.1017/pds.2024.257'
apa: Gräßler, I., Wiechel, D., Özcan, D., & Taplick, P. (2024). Tailored metrics
for assessing the quality of MBSE models. Proceedings of the Design Society,
4, 2545–2554. https://doi.org/10.1017/pds.2024.257
bibtex: '@inproceedings{Gräßler_Wiechel_Özcan_Taplick_2024, title={Tailored metrics
for assessing the quality of MBSE models}, volume={4}, DOI={10.1017/pds.2024.257},
booktitle={Proceedings of the Design Society}, publisher={Cambridge University
Press (CUP)}, author={Gräßler, Iris and Wiechel, Dominik and Özcan, Deniz and
Taplick, Patrick}, year={2024}, pages={2545–2554} }'
chicago: Gräßler, Iris, Dominik Wiechel, Deniz Özcan, and Patrick Taplick. “Tailored
Metrics for Assessing the Quality of MBSE Models.” In Proceedings of the Design
Society, 4:2545–54. Cambridge University Press (CUP), 2024. https://doi.org/10.1017/pds.2024.257.
ieee: 'I. Gräßler, D. Wiechel, D. Özcan, and P. Taplick, “Tailored metrics for assessing
the quality of MBSE models,” in Proceedings of the Design Society, 2024,
vol. 4, pp. 2545–2554, doi: 10.1017/pds.2024.257.'
mla: Gräßler, Iris, et al. “Tailored Metrics for Assessing the Quality of MBSE Models.”
Proceedings of the Design Society, vol. 4, Cambridge University Press (CUP),
2024, pp. 2545–54, doi:10.1017/pds.2024.257.
short: 'I. Gräßler, D. Wiechel, D. Özcan, P. Taplick, in: Proceedings of the Design
Society, Cambridge University Press (CUP), 2024, pp. 2545–2554.'
date_created: 2024-05-31T13:27:01Z
date_updated: 2024-11-19T08:59:57Z
department:
- _id: '152'
doi: 10.1017/pds.2024.257
intvolume: ' 4'
language:
- iso: eng
page: 2545-2554
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
quality_controlled: '1'
status: public
title: Tailored metrics for assessing the quality of MBSE models
type: conference
user_id: '58595'
volume: 4
year: '2024'
...
---
_id: '56346'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
citation:
ama: 'Gräßler I, Özcan D. Quality Key Figures for Developing Future Scenarios. In:
AHFE International. Vol 158. AHFE International; 2024. doi:10.54941/ahfe1005553'
apa: Gräßler, I., & Özcan, D. (2024). Quality Key Figures for Developing Future
Scenarios. AHFE International, 158. https://doi.org/10.54941/ahfe1005553
bibtex: '@inproceedings{Gräßler_Özcan_2024, title={Quality Key Figures for Developing
Future Scenarios}, volume={158}, DOI={10.54941/ahfe1005553},
booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler,
Iris and Özcan, Deniz}, year={2024} }'
chicago: Gräßler, Iris, and Deniz Özcan. “Quality Key Figures for Developing Future
Scenarios.” In AHFE International, Vol. 158. AHFE International, 2024.
https://doi.org/10.54941/ahfe1005553.
ieee: 'I. Gräßler and D. Özcan, “Quality Key Figures for Developing Future Scenarios,”
in AHFE International, Split, 2024, vol. 158, doi: 10.54941/ahfe1005553.'
mla: Gräßler, Iris, and Deniz Özcan. “Quality Key Figures for Developing Future
Scenarios.” AHFE International, vol. 158, AHFE International, 2024, doi:10.54941/ahfe1005553.
short: 'I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2024.'
conference:
end_date: 2024-09-26
location: Split
name: '6th International Conference on Human Systems Engineering and Design (IHSED2024):
Future Trends and Applications'
start_date: 2024-09-24
date_created: 2024-10-07T07:33:08Z
date_updated: 2025-11-13T16:42:28Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.54941/ahfe1005553
intvolume: ' 158'
language:
- iso: eng
publication: AHFE International
publication_identifier:
unknown:
- 2771-0718
publication_status: published
publisher: AHFE International
quality_controlled: '1'
status: public
title: Quality Key Figures for Developing Future Scenarios
type: conference
user_id: '58595'
volume: 158
year: '2024'
...
---
_id: '47108'
alternative_title:
- AI-based extraction of requirements from regulations for automotive engineering
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
- first_name: Daniel
full_name: Preuß, Daniel
id: '40253'
last_name: Preuß
citation:
ama: 'Gräßler I, Özcan D, Preuß D. KI-basierte Extrahierung von Anforderungen aus
Regularien für die Automobilentwicklung. In: Krause D, Paetzold-Byhain K, Wartzack
S, eds. Design fox X - Beiträge zum 34. DfX-Symposium. Vol 34. ; 2023:163-172.
doi:10.35199/dfx2023.17'
apa: Gräßler, I., Özcan, D., & Preuß, D. (2023). KI-basierte Extrahierung von
Anforderungen aus Regularien für die Automobilentwicklung. In D. Krause, K. Paetzold-Byhain,
& S. Wartzack (Eds.), Design fox X - Beiträge zum 34. DfX-Symposium
(Vol. 34, pp. 163–172). https://doi.org/10.35199/dfx2023.17
bibtex: '@inproceedings{Gräßler_Özcan_Preuß_2023, title={KI-basierte Extrahierung
von Anforderungen aus Regularien für die Automobilentwicklung}, volume={34}, DOI={10.35199/dfx2023.17}, booktitle={Design
fox X - Beiträge zum 34. DfX-Symposium}, author={Gräßler, Iris and Özcan, Deniz
and Preuß, Daniel}, editor={Krause, Dieter and Paetzold-Byhain, Kristin and Wartzack,
Sandro}, year={2023}, pages={163–172} }'
chicago: Gräßler, Iris, Deniz Özcan, and Daniel Preuß. “KI-basierte Extrahierung
von Anforderungen aus Regularien für die Automobilentwicklung.” In Design fox
X - Beiträge zum 34. DfX-Symposium, edited by Dieter Krause, Kristin Paetzold-Byhain,
and Sandro Wartzack, 34:163–72, 2023. https://doi.org/10.35199/dfx2023.17.
ieee: 'I. Gräßler, D. Özcan, and D. Preuß, “KI-basierte Extrahierung von Anforderungen
aus Regularien für die Automobilentwicklung,” in Design fox X - Beiträge zum
34. DfX-Symposium, Radebeul, 2023, vol. 34, pp. 163–172, doi: 10.35199/dfx2023.17.'
mla: Gräßler, Iris, et al. “KI-basierte Extrahierung von Anforderungen aus Regularien
für die Automobilentwicklung.” Design fox X - Beiträge zum 34. DfX-Symposium,
edited by Dieter Krause et al., vol. 34, 2023, pp. 163–72, doi:10.35199/dfx2023.17.
short: 'I. Gräßler, D. Özcan, D. Preuß, in: D. Krause, K. Paetzold-Byhain, S. Wartzack
(Eds.), Design fox X - Beiträge zum 34. DfX-Symposium, 2023, pp. 163–172.'
conference:
end_date: 2023-09-15
location: Radebeul
name: 34. DfX Symposium
start_date: 2023-09-14
date_created: 2023-09-18T07:31:56Z
date_updated: 2023-12-14T12:39:15Z
department:
- _id: '152'
doi: 10.35199/dfx2023.17
editor:
- first_name: Dieter
full_name: Krause, Dieter
last_name: Krause
- first_name: Kristin
full_name: Paetzold-Byhain, Kristin
last_name: Paetzold-Byhain
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
intvolume: ' 34'
language:
- iso: ger
page: 163 - 172
publication: Design fox X - Beiträge zum 34. DfX-Symposium
publication_status: published
quality_controlled: '1'
status: public
title: KI-basierte Extrahierung von Anforderungen aus Regularien für die Automobilentwicklung
type: conference
user_id: '58595'
volume: 34
year: '2023'
...
---
_id: '46490'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Alena Marie
full_name: Tusek, Alena Marie
id: '59370'
last_name: Tusek
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
citation:
ama: 'Gräßler I, Tusek AM, Özcan D. Entwicklung zukunftsfähiger Geschäftsmodelle
in der Automatisierungstechnik anhand von Megatrends. In: VDI Wissensforum GmbH,
ed. Automation 2023. Vol 2419. Transformation by Automation. VDI Verlag;
2023:863-874. doi:10.51202/9783181024195-863'
apa: Gräßler, I., Tusek, A. M., & Özcan, D. (2023). Entwicklung zukunftsfähiger
Geschäftsmodelle in der Automatisierungstechnik anhand von Megatrends. In VDI
Wissensforum GmbH (Ed.), Automation 2023 (Vol. 2419, pp. 863–874). VDI
Verlag. https://doi.org/10.51202/9783181024195-863
bibtex: '@inproceedings{Gräßler_Tusek_Özcan_2023, place={Düsseldorf}, series={Transformation
by Automation}, title={Entwicklung zukunftsfähiger Geschäftsmodelle in der Automatisierungstechnik
anhand von Megatrends}, volume={2419}, DOI={10.51202/9783181024195-863},
booktitle={Automation 2023}, publisher={VDI Verlag}, author={Gräßler, Iris and
Tusek, Alena Marie and Özcan, Deniz}, editor={VDI Wissensforum GmbH}, year={2023},
pages={863–874}, collection={Transformation by Automation} }'
chicago: 'Gräßler, Iris, Alena Marie Tusek, and Deniz Özcan. “Entwicklung zukunftsfähiger
Geschäftsmodelle in der Automatisierungstechnik anhand von Megatrends.” In Automation
2023, edited by VDI Wissensforum GmbH, 2419:863–74. Transformation by Automation.
Düsseldorf: VDI Verlag, 2023. https://doi.org/10.51202/9783181024195-863.'
ieee: 'I. Gräßler, A. M. Tusek, and D. Özcan, “Entwicklung zukunftsfähiger Geschäftsmodelle
in der Automatisierungstechnik anhand von Megatrends,” in Automation 2023,
Baden-Baden, 2023, vol. 2419, pp. 863–874, doi: 10.51202/9783181024195-863.'
mla: Gräßler, Iris, et al. “Entwicklung zukunftsfähiger Geschäftsmodelle in der
Automatisierungstechnik anhand von Megatrends.” Automation 2023, edited
by VDI Wissensforum GmbH, vol. 2419, VDI Verlag, 2023, pp. 863–74, doi:10.51202/9783181024195-863.
short: 'I. Gräßler, A.M. Tusek, D. Özcan, in: VDI Wissensforum GmbH (Ed.), Automation
2023, VDI Verlag, Düsseldorf, 2023, pp. 863–874.'
conference:
end_date: 2023-06-28
location: Baden-Baden
name: VDI Automation
start_date: 2023-06-27
corporate_editor:
- VDI Wissensforum GmbH
date_created: 2023-08-15T07:13:18Z
date_updated: 2024-11-19T10:59:42Z
department:
- _id: '152'
doi: 10.51202/9783181024195-863
intvolume: ' 2419'
language:
- iso: ger
page: 863 - 874
place: Düsseldorf
publication: Automation 2023
publication_identifier:
isbn:
- '9783181024195'
publication_status: published
publisher: VDI Verlag
quality_controlled: '1'
series_title: Transformation by Automation
status: public
title: Entwicklung zukunftsfähiger Geschäftsmodelle in der Automatisierungstechnik
anhand von Megatrends
type: conference
user_id: '59370'
volume: 2419
year: '2023'
...