---
_id: '58233'
abstract:
- lang: eng
  text: Extreme weather situations increasingly lead to hazardous situations with
    high demands on de-cision-making and communication. Weather and impact forecasts
    serve to prepare for such an emergency situation, and extreme data must be processed
    during operations. Therefore, extreme data is categorised with reference to global
    weather data and data from local situation reconnais-sance using sensors carried
    by mobile robots. A concept is presented in which information quality is explicitly
    considered in visualization for situational awareness. This extends existing principles
    of information visualisation with regard to the uncertainty resulting from extreme
    data. The re-sults are intended to help decision-makers at different management
    levels to make informed decisions.
alternative_title:
- 'Wetterbedingte Gefahrenlagen: Extreme Daten in der Lageerkundung und -visualisierung'
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Jens
  full_name: Pottebaum, Jens
  id: '405'
  last_name: Pottebaum
  orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
- first_name: Sylvia
  full_name: Pratzler-Wanczura, Sylvia
  last_name: Pratzler-Wanczura
- first_name: Oliver
  full_name: Krüger, Oliver
  last_name: Krüger
- first_name: Ivana
  full_name: Kruijff, Ivana
  last_name: Kruijff
- first_name: Nicola
  full_name: Rupp, Nicola
  last_name: Rupp
citation:
  ama: 'Gräßler I, Pottebaum J, Hieb M, et al. Weather-induced emergency situations:
    Extreme data in situational awareness and visualisation. In: Bernsdorf B, ed.
    <i>Proceedings of the Days of Security Research 2023</i>. Technische Hochschule
    Georg Agricola; 2024.'
  apa: 'Gräßler, I., Pottebaum, J., Hieb, M., Pratzler-Wanczura, S., Krüger, O., Kruijff,
    I., &#38; Rupp, N. (2024). Weather-induced emergency situations: Extreme data
    in situational awareness and visualisation. In B. Bernsdorf (Ed.), <i>Proceedings
    of the Days of Security Research 2023</i>. Technische Hochschule Georg Agricola.'
  bibtex: '@inproceedings{Gräßler_Pottebaum_Hieb_Pratzler-Wanczura_Krüger_Kruijff_Rupp_2024,
    place={Bochum}, title={Weather-induced emergency situations: Extreme data in situational
    awareness and visualisation}, booktitle={Proceedings of the Days of Security Research
    2023}, publisher={Technische Hochschule Georg Agricola}, author={Gräßler, Iris
    and Pottebaum, Jens and Hieb, Michael and Pratzler-Wanczura, Sylvia and Krüger,
    Oliver and Kruijff, Ivana and Rupp, Nicola}, editor={Bernsdorf, Bodo}, year={2024}
    }'
  chicago: 'Gräßler, Iris, Jens Pottebaum, Michael Hieb, Sylvia Pratzler-Wanczura,
    Oliver Krüger, Ivana Kruijff, and Nicola Rupp. “Weather-Induced Emergency Situations:
    Extreme Data in Situational Awareness and Visualisation.” In <i>Proceedings of
    the Days of Security Research 2023</i>, edited by Bodo Bernsdorf. Bochum: Technische
    Hochschule Georg Agricola, 2024.'
  ieee: 'I. Gräßler <i>et al.</i>, “Weather-induced emergency situations: Extreme
    data in situational awareness and visualisation,” in <i>Proceedings of the Days
    of Security Research 2023</i>, Dortmund, 2024.'
  mla: 'Gräßler, Iris, et al. “Weather-Induced Emergency Situations: Extreme Data
    in Situational Awareness and Visualisation.” <i>Proceedings of the Days of Security
    Research 2023</i>, edited by Bodo Bernsdorf, Technische Hochschule Georg Agricola,
    2024.'
  short: 'I. Gräßler, J. Pottebaum, M. Hieb, S. Pratzler-Wanczura, O. Krüger, I. Kruijff,
    N. Rupp, in: B. Bernsdorf (Ed.), Proceedings of the Days of Security Research
    2023, Technische Hochschule Georg Agricola, Bochum, 2024.'
conference:
  end_date: 16.6.2023
  location: Dortmund
  name: Tage der Sicherheitsforschung 2023
  start_date: 14.6.2023
date_created: 2025-01-17T14:35:50Z
date_updated: 2026-01-28T10:20:46Z
ddc:
- '620'
- '004'
department:
- _id: '152'
editor:
- first_name: Bodo
  full_name: Bernsdorf, Bodo
  last_name: Bernsdorf
file:
- access_level: closed
  content_type: application/pdf
  creator: jenspo
  date_created: 2026-01-28T10:19:37Z
  date_updated: 2026-01-28T10:19:37Z
  file_id: '63785'
  file_name: 2023_CREXDATA_112rescue_ExtremeData_Paper.pdf
  file_size: 805904
  relation: main_file
  success: 1
file_date_updated: 2026-01-28T10:19:37Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
place: Bochum
project:
- _id: '516'
  name: 'CREXDATA: CREXDATA: Kritische Maßnahmenplanung über extreme Datenmengen'
publication: Proceedings of the Days of Security Research 2023
publication_status: published
publisher: Technische Hochschule Georg Agricola
quality_controlled: '1'
status: public
title: 'Weather-induced emergency situations: Extreme data in situational awareness
  and visualisation'
type: conference
user_id: '405'
year: '2024'
...
---
_id: '34395'
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
- first_name: Daniel
  full_name: Roesmann, Daniel
  id: '54680'
  last_name: Roesmann
- first_name: Marc
  full_name: Unverzagt, Marc
  id: '55785'
  last_name: Unverzagt
citation:
  ama: 'Gräßler I, Hieb M, Roesmann D, Unverzagt M. Creating Synthetic Training Data
    for Machine Vision Quality Gates. In: Lohweg V, ed. Springer Vieweg; 2023:95-106.
    doi:<a href="https://doi.org/10.1007/978-3-662-66769-9_7 ">10.1007/978-3-662-66769-9_7
    </a>'
  apa: Gräßler, I., Hieb, M., Roesmann, D., &#38; Unverzagt, M. (2023). <i>Creating
    Synthetic Training Data for Machine Vision Quality Gates</i> (V. Lohweg, Ed.;
    pp. 95–106). Springer Vieweg. <a href="https://doi.org/10.1007/978-3-662-66769-9_7
    ">https://doi.org/10.1007/978-3-662-66769-9_7 </a>
  bibtex: '@inproceedings{Gräßler_Hieb_Roesmann_Unverzagt_2023, place={Berlin, Heidelberg},
    title={Creating Synthetic Training Data for Machine Vision Quality Gates}, DOI={<a
    href="https://doi.org/10.1007/978-3-662-66769-9_7 ">10.1007/978-3-662-66769-9_7
    </a>}, publisher={Springer Vieweg}, author={Gräßler, Iris and Hieb, Michael and
    Roesmann, Daniel and Unverzagt, Marc}, editor={Lohweg, Volker}, year={2023}, pages={95–106}
    }'
  chicago: 'Gräßler, Iris, Michael Hieb, Daniel Roesmann, and Marc Unverzagt. “Creating
    Synthetic Training Data for Machine Vision Quality Gates.” edited by Volker Lohweg,
    95–106. Berlin, Heidelberg: Springer Vieweg, 2023. <a href="https://doi.org/10.1007/978-3-662-66769-9_7
    ">https://doi.org/10.1007/978-3-662-66769-9_7 </a>.'
  ieee: 'I. Gräßler, M. Hieb, D. Roesmann, and M. Unverzagt, “Creating Synthetic Training
    Data for Machine Vision Quality Gates,” 2023, pp. 95–106, doi: <a href="https://doi.org/10.1007/978-3-662-66769-9_7
    ">10.1007/978-3-662-66769-9_7 </a>.'
  mla: Gräßler, Iris, et al. <i>Creating Synthetic Training Data for Machine Vision
    Quality Gates</i>. Edited by Volker Lohweg, Springer Vieweg, 2023, pp. 95–106,
    doi:<a href="https://doi.org/10.1007/978-3-662-66769-9_7 ">10.1007/978-3-662-66769-9_7
    </a>.
  short: 'I. Gräßler, M. Hieb, D. Roesmann, M. Unverzagt, in: V. Lohweg (Ed.), Springer
    Vieweg, Berlin, Heidelberg, 2023, pp. 95–106.'
date_created: 2022-12-12T09:19:05Z
date_updated: 2024-03-25T10:37:14Z
department:
- _id: '152'
doi: '10.1007/978-3-662-66769-9_7 '
editor:
- first_name: Volker
  full_name: Lohweg, Volker
  last_name: Lohweg
language:
- iso: eng
page: 95-106
place: Berlin, Heidelberg
publication_status: published
publisher: Springer Vieweg
quality_controlled: '1'
status: public
title: Creating Synthetic Training Data for Machine Vision Quality Gates
type: conference
user_id: '5905'
year: '2023'
...
---
_id: '46974'
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
citation:
  ama: 'Gräßler I, Hieb M. Creating Synthetic Datasets for Deep Learning used in Machine
    Vision. In: CIRP ; 2023.'
  apa: Gräßler, I., &#38; Hieb, M. (2023). <i>Creating Synthetic Datasets for Deep
    Learning used in Machine Vision</i>.
  bibtex: '@inproceedings{Gräßler_Hieb_2023, title={Creating Synthetic Datasets for
    Deep Learning used in Machine Vision}, publisher={CIRP }, author={Gräßler, Iris
    and Hieb, Michael}, year={2023} }'
  chicago: Gräßler, Iris, and Michael Hieb. “Creating Synthetic Datasets for Deep
    Learning Used in Machine Vision.” CIRP , 2023.
  ieee: I. Gräßler and M. Hieb, “Creating Synthetic Datasets for Deep Learning used
    in Machine Vision,” 2023.
  mla: Gräßler, Iris, and Michael Hieb. <i>Creating Synthetic Datasets for Deep Learning
    Used in Machine Vision</i>. CIRP , 2023.
  short: 'I. Gräßler, M. Hieb, in: CIRP , 2023.'
date_created: 2023-09-12T09:11:15Z
date_updated: 2024-03-25T10:47:18Z
department:
- _id: '152'
language:
- iso: eng
publisher: 'CIRP '
quality_controlled: '1'
status: public
title: Creating Synthetic Datasets for Deep Learning used in Machine Vision
type: conference
user_id: '5905'
year: '2023'
...
---
_id: '52839'
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
- first_name: Daniel
  full_name: Roesmann, Daniel
  id: '54680'
  last_name: Roesmann
- first_name: Marc
  full_name: Unverzagt, Marc
  id: '55785'
  last_name: Unverzagt
- first_name: Jens
  full_name: Pottebaum, Jens
  id: '405'
  last_name: Pottebaum
  orcid: http://orcid.org/0000-0001-8778-2989
citation:
  ama: 'Gräßler I, Hieb M, Roesmann D, Unverzagt M, Pottebaum J. Virtual learning
    environment for teaching the handling of collaborative robots. In: <i>SSRN Electronic
    Journal</i>. Elsevier BV; 2023. doi:<a href="https://doi.org/10.2139/ssrn.4471596">10.2139/ssrn.4471596</a>'
  apa: Gräßler, I., Hieb, M., Roesmann, D., Unverzagt, M., &#38; Pottebaum, J. (2023).
    Virtual learning environment for teaching the handling of collaborative robots.
    <i>SSRN Electronic Journal</i>. <a href="https://doi.org/10.2139/ssrn.4471596">https://doi.org/10.2139/ssrn.4471596</a>
  bibtex: '@inproceedings{Gräßler_Hieb_Roesmann_Unverzagt_Pottebaum_2023, title={Virtual
    learning environment for teaching the handling of collaborative robots}, DOI={<a
    href="https://doi.org/10.2139/ssrn.4471596">10.2139/ssrn.4471596</a>}, booktitle={SSRN
    Electronic Journal}, publisher={Elsevier BV}, author={Gräßler, Iris and Hieb,
    Michael and Roesmann, Daniel and Unverzagt, Marc and Pottebaum, Jens}, year={2023}
    }'
  chicago: Gräßler, Iris, Michael Hieb, Daniel Roesmann, Marc Unverzagt, and Jens
    Pottebaum. “Virtual Learning Environment for Teaching the Handling of Collaborative
    Robots.” In <i>SSRN Electronic Journal</i>. Elsevier BV, 2023. <a href="https://doi.org/10.2139/ssrn.4471596">https://doi.org/10.2139/ssrn.4471596</a>.
  ieee: 'I. Gräßler, M. Hieb, D. Roesmann, M. Unverzagt, and J. Pottebaum, “Virtual
    learning environment for teaching the handling of collaborative robots,” 2023,
    doi: <a href="https://doi.org/10.2139/ssrn.4471596">10.2139/ssrn.4471596</a>.'
  mla: Gräßler, Iris, et al. “Virtual Learning Environment for Teaching the Handling
    of Collaborative Robots.” <i>SSRN Electronic Journal</i>, Elsevier BV, 2023, doi:<a
    href="https://doi.org/10.2139/ssrn.4471596">10.2139/ssrn.4471596</a>.
  short: 'I. Gräßler, M. Hieb, D. Roesmann, M. Unverzagt, J. Pottebaum, in: SSRN Electronic
    Journal, Elsevier BV, 2023.'
date_created: 2024-03-25T10:50:13Z
date_updated: 2024-03-25T10:58:40Z
department:
- _id: '152'
doi: 10.2139/ssrn.4471596
keyword:
- General Earth and Planetary Sciences
- General Environmental Science
language:
- iso: eng
publication: SSRN Electronic Journal
publication_identifier:
  issn:
  - 1556-5068
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Virtual learning environment for teaching the handling of collaborative robots
type: conference
user_id: '5905'
year: '2023'
...
---
_id: '46973'
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
citation:
  ama: 'Gräßler I, Hieb M. Cloud-Computing für die Verwendung synthetischer Trainingsdaten
    für Machine Vision Quality Gates. In: <i>Automation 2023</i>. Vol 2419. VDI-Berichte.
    VDI Verlag ; 2023:765-776. doi:<a href="https://doi.org/10.51202/9783181024195-765">10.51202/9783181024195-765</a>'
  apa: Gräßler, I., &#38; Hieb, M. (2023). Cloud-Computing für die Verwendung synthetischer
    Trainingsdaten für Machine Vision Quality Gates. <i>Automation 2023</i>, <i>2419</i>,
    765–776. <a href="https://doi.org/10.51202/9783181024195-765">https://doi.org/10.51202/9783181024195-765</a>
  bibtex: '@inproceedings{Gräßler_Hieb_2023, series={VDI-Berichte}, title={Cloud-Computing
    für die Verwendung synthetischer Trainingsdaten für Machine Vision Quality Gates},
    volume={2419}, DOI={<a href="https://doi.org/10.51202/9783181024195-765">10.51202/9783181024195-765</a>},
    booktitle={Automation 2023}, publisher={VDI Verlag }, author={Gräßler, Iris and
    Hieb, Michael}, year={2023}, pages={765–776}, collection={VDI-Berichte} }'
  chicago: Gräßler, Iris, and Michael Hieb. “Cloud-Computing Für Die Verwendung Synthetischer
    Trainingsdaten Für Machine Vision Quality Gates.” In <i>Automation 2023</i>, 2419:765–76.
    VDI-Berichte. VDI Verlag , 2023. <a href="https://doi.org/10.51202/9783181024195-765">https://doi.org/10.51202/9783181024195-765</a>.
  ieee: 'I. Gräßler and M. Hieb, “Cloud-Computing für die Verwendung synthetischer
    Trainingsdaten für Machine Vision Quality Gates,” in <i>Automation 2023</i>, 2023,
    vol. 2419, pp. 765–776, doi: <a href="https://doi.org/10.51202/9783181024195-765">10.51202/9783181024195-765</a>.'
  mla: Gräßler, Iris, and Michael Hieb. “Cloud-Computing Für Die Verwendung Synthetischer
    Trainingsdaten Für Machine Vision Quality Gates.” <i>Automation 2023</i>, vol.
    2419, VDI Verlag , 2023, pp. 765–76, doi:<a href="https://doi.org/10.51202/9783181024195-765">10.51202/9783181024195-765</a>.
  short: 'I. Gräßler, M. Hieb, in: Automation 2023, VDI Verlag , 2023, pp. 765–776.'
date_created: 2023-09-12T09:10:24Z
date_updated: 2024-03-25T10:57:26Z
department:
- _id: '152'
doi: 10.51202/9783181024195-765
intvolume: '      2419'
language:
- iso: eng
page: 765-776
publication: Automation 2023
publisher: 'VDI Verlag '
quality_controlled: '1'
series_title: VDI-Berichte
status: public
title: Cloud-Computing für die Verwendung synthetischer Trainingsdaten für Machine
  Vision Quality Gates
type: conference
user_id: '5905'
volume: 2419
year: '2023'
...
---
_id: '52816'
abstract:
- lang: eng
  text: "Manufacturing companies face the challenge of reaching required quality standards.
    Using\r\noptical sensors and deep learning might help. However, training deep
    learning algorithms\r\nrequire large amounts of visual training data. Using domain
    randomization to generate synthetic\r\nimage data can alleviate this bottleneck.
    This paper presents the application of synthetic\r\nimage training data for optical
    quality inspections using visual sensor technology. The results\r\nshow synthetically
    generated training data are appropriate for visual quality inspections."
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
citation:
  ama: 'Gräßler I, Hieb M. Creating Synthetic Training Datasets for Inspection in
    Machine Vision Quality Gates in Manufacturing. In: <i>Lectures</i>. AMA Service
    GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany; 2023:253-524. doi:<a href="https://doi.org/10.5162/smsi2023/d7.4">10.5162/smsi2023/d7.4</a>'
  apa: Gräßler, I., &#38; Hieb, M. (2023). Creating Synthetic Training Datasets for
    Inspection in Machine Vision Quality Gates in Manufacturing. <i>Lectures</i>,
    253–524. <a href="https://doi.org/10.5162/smsi2023/d7.4">https://doi.org/10.5162/smsi2023/d7.4</a>
  bibtex: '@inproceedings{Gräßler_Hieb_2023, title={Creating Synthetic Training Datasets
    for Inspection in Machine Vision Quality Gates in Manufacturing}, DOI={<a href="https://doi.org/10.5162/smsi2023/d7.4">10.5162/smsi2023/d7.4</a>},
    booktitle={Lectures}, publisher={AMA Service GmbH, Von-Münchhausen-Str. 49, 31515
    Wunstorf, Germany}, author={Gräßler, Iris and Hieb, Michael}, year={2023}, pages={253–524}
    }'
  chicago: Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets
    for Inspection in Machine Vision Quality Gates in Manufacturing.” In <i>Lectures</i>,
    253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023.
    <a href="https://doi.org/10.5162/smsi2023/d7.4">https://doi.org/10.5162/smsi2023/d7.4</a>.
  ieee: 'I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection
    in Machine Vision Quality Gates in Manufacturing,” in <i>Lectures</i>, Nuremberg,
    2023, pp. 253–524, doi: <a href="https://doi.org/10.5162/smsi2023/d7.4">10.5162/smsi2023/d7.4</a>.'
  mla: Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for
    Inspection in Machine Vision Quality Gates in Manufacturing.” <i>Lectures</i>,
    AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp.
    253–524, doi:<a href="https://doi.org/10.5162/smsi2023/d7.4">10.5162/smsi2023/d7.4</a>.
  short: 'I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str.
    49, 31515 Wunstorf, Germany, 2023, pp. 253–524.'
conference:
  end_date: 2023-05-11
  location: Nuremberg
  name: SMSI 2023. Sensor and Measurement Science International
  start_date: 2023-05-08
date_created: 2024-03-25T10:16:24Z
date_updated: 2024-03-25T11:05:53Z
department:
- _id: '152'
doi: 10.5162/smsi2023/d7.4
keyword:
- synthetic training data
- machine vision quality gates
- deep learning
- automated inspection and quality control
- production control
language:
- iso: eng
page: 253-524
publication: Lectures
publication_status: published
publisher: AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany
quality_controlled: '1'
status: public
title: Creating Synthetic Training Datasets for Inspection in Machine Vision Quality
  Gates in Manufacturing
type: conference
user_id: '5905'
year: '2023'
...
---
_id: '46988'
abstract:
- lang: ger
  text: Extremwettersituationen sind durch die Kombination von globalen und lokalen
    Wirkzusammenhän-gen gekennzeichnet. In der Gefahrenanalyse und -reaktion ist deshalb
    der Umgang mit extremen Daten erforderlich, die von heterogenen Datenquellen bezogen
    und mittels unterschiedlicher Ver-fahren bis hin zum maschinellen Lernen ausgewertet
    werden. Die Visualisierung dieser zwangsläufig unsicherheitsbehafteten Daten stellt
    eine Herausforderung dar. Diese wirkt umso bedeutsamer, je weniger Fachexpertise
    in Bereichen wie Meteorologie, Geologie oder Sensortechnik in einer Füh-rungs-
    oder Leitstelle eingebunden werden kann. Das Management kritischer Situationen
    in Echtzeit bei extremen und komplexen Daten muss daher auf einer Bewertung der
    Informationsqualität von extremen Daten beruhen. Diese Bewertung ist abhängig
    vom Anwendungskontext in unterschiedli-chen Führungs- und Assistenzstellen sowie
    der verfügbaren Infrastruktur mit Geräten zur Visualisie-rung, Schnittstellen
    von Wetterdiensten, Sensorsysteme und Rettungsrobotik. Im Beitrag wird der Ansatz
    des EU-Projekts CREXDATA in Bezug auf mögliche pluviale Hochwassersituationen
    in Inns-bruck vorgestellt. Grundlage bildet die Kategorisierung von extremen Daten,
    die Schnittstellen zu Datenquellen mit globalem und lokalem Bezug sowie Anwendungsfälle
    für die Visualisierung von Informationen. Es werden somit Grundlagen präsentiert,
    die in allen Formen von geobasierten Lage- und Führungsinformationssystemen zum
    Einsatz kommen können.
author:
- first_name: Jens
  full_name: Pottebaum, Jens
  id: '405'
  last_name: Pottebaum
  orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Christina
  full_name: Rechberger, Christina
  last_name: Rechberger
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Christian
  full_name: Resch, Christian
  last_name: Resch
citation:
  ama: 'Pottebaum J, Rechberger C, Hieb M, Gräßler I, Resch C. Extremwettersituationen
    in alpinen Gebieten: Management kritischer Situationen in Echtzeit bei extremen
    und komplexen Daten. In: Disaster Competence Network Austria, ed. <i>Tagungsband
    der Fachtagung Katastrophenforschung 2023</i>. ; 2023:26-29.'
  apa: 'Pottebaum, J., Rechberger, C., Hieb, M., Gräßler, I., &#38; Resch, C. (2023).
    Extremwettersituationen in alpinen Gebieten: Management kritischer Situationen
    in Echtzeit bei extremen und komplexen Daten. In Disaster Competence Network Austria
    (Ed.), <i>Tagungsband der Fachtagung Katastrophenforschung 2023</i> (pp. 26–29).'
  bibtex: '@inproceedings{Pottebaum_Rechberger_Hieb_Gräßler_Resch_2023, place={Wien},
    title={Extremwettersituationen in alpinen Gebieten: Management kritischer Situationen
    in Echtzeit bei extremen und komplexen Daten}, booktitle={Tagungsband der Fachtagung
    Katastrophenforschung 2023}, author={Pottebaum, Jens and Rechberger, Christina
    and Hieb, Michael and Gräßler, Iris and Resch, Christian}, editor={Disaster Competence
    Network Austria}, year={2023}, pages={26–29} }'
  chicago: 'Pottebaum, Jens, Christina Rechberger, Michael Hieb, Iris Gräßler, and
    Christian Resch. “Extremwettersituationen in alpinen Gebieten: Management kritischer
    Situationen in Echtzeit bei extremen und komplexen Daten.” In <i>Tagungsband der
    Fachtagung Katastrophenforschung 2023</i>, edited by Disaster Competence Network
    Austria, 26–29. Wien, 2023.'
  ieee: 'J. Pottebaum, C. Rechberger, M. Hieb, I. Gräßler, and C. Resch, “Extremwettersituationen
    in alpinen Gebieten: Management kritischer Situationen in Echtzeit bei extremen
    und komplexen Daten,” in <i>Tagungsband der Fachtagung Katastrophenforschung 2023</i>,
    Leoben, 2023, pp. 26–29.'
  mla: 'Pottebaum, Jens, et al. “Extremwettersituationen in alpinen Gebieten: Management
    kritischer Situationen in Echtzeit bei extremen und komplexen Daten.” <i>Tagungsband
    der Fachtagung Katastrophenforschung 2023</i>, edited by Disaster Competence Network
    Austria, 2023, pp. 26–29.'
  short: 'J. Pottebaum, C. Rechberger, M. Hieb, I. Gräßler, C. Resch, in: Disaster
    Competence Network Austria (Ed.), Tagungsband der Fachtagung Katastrophenforschung
    2023, Wien, 2023, pp. 26–29.'
conference:
  end_date: 2023-09-12
  location: Leoben
  name: Fachtagung Katastrophenforschung
  start_date: 2023-09-11
corporate_editor:
- Disaster Competence Network Austria
date_created: 2023-09-13T00:15:48Z
date_updated: 2024-05-22T21:09:37Z
ddc:
- '600'
department:
- _id: '152'
file:
- access_level: open_access
  content_type: application/pdf
  creator: jenspo
  date_created: 2023-11-17T07:14:05Z
  date_updated: 2024-05-22T21:09:37Z
  file_id: '48993'
  file_name: 2023_Tagungsband_FKF23_PottebaumEtAl.pdf
  file_size: 416743
  relation: main_file
file_date_updated: 2024-05-22T21:09:37Z
has_accepted_license: '1'
language:
- iso: ger
oa: '1'
page: 26-29
place: Wien
project:
- _id: '516'
  grant_number: '101092749'
  name: 'CREXDATA: CREXDATA: Critical Action Planning over Extreme-Scale Data'
publication: Tagungsband der Fachtagung Katastrophenforschung 2023
publication_identifier:
  isbn:
  - 978-3-900397-11-1
publication_status: published
quality_controlled: '1'
status: public
title: 'Extremwettersituationen in alpinen Gebieten: Management kritischer Situationen
  in Echtzeit bei extremen und komplexen Daten'
type: conference
user_id: '405'
year: '2023'
...
---
_id: '32174'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>Increasing system complexity can
    be controlled by using systems engineering processes. INCOSE defines processes
    with inputs and outputs (artifacts) for this purpose. Specific SE roles are used
    to organize the tasks of the processes within the company. In this work, the responsibilities
    for artifacts are evaluated by means of the RACI scheme and examined by a cluster
    analysis and discussed for a SE transformation project with a German automotive
    OEM. As a result of the study, the optimal composition for systems engineering
    teams is identified and the systems engineering roles are prioritized.</jats:p>
article_type: original
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Henrik
  full_name: Thiele, Henrik
  id: '33419'
  last_name: Thiele
- first_name: Benedikt
  full_name: Grewe, Benedikt
  id: '52359'
  last_name: Grewe
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
citation:
  ama: Gräßler I, Thiele H, Grewe B, Hieb M. Responsibility Assignment in Systems
    Engineering. <i>Proceedings of the Design Society</i>. 2022;2:1875-1884. doi:<a
    href="https://doi.org/10.1017/pds.2022.190">10.1017/pds.2022.190</a>
  apa: Gräßler, I., Thiele, H., Grewe, B., &#38; Hieb, M. (2022). Responsibility Assignment
    in Systems Engineering. <i>Proceedings of the Design Society</i>, <i>2</i>, 1875–1884.
    <a href="https://doi.org/10.1017/pds.2022.190">https://doi.org/10.1017/pds.2022.190</a>
  bibtex: '@article{Gräßler_Thiele_Grewe_Hieb_2022, title={Responsibility Assignment
    in Systems Engineering}, volume={2}, DOI={<a href="https://doi.org/10.1017/pds.2022.190">10.1017/pds.2022.190</a>},
    journal={Proceedings of the Design Society}, publisher={Cambridge University Press
    (CUP)}, author={Gräßler, Iris and Thiele, Henrik and Grewe, Benedikt and Hieb,
    Michael}, year={2022}, pages={1875–1884} }'
  chicago: 'Gräßler, Iris, Henrik Thiele, Benedikt Grewe, and Michael Hieb. “Responsibility
    Assignment in Systems Engineering.” <i>Proceedings of the Design Society</i> 2
    (2022): 1875–84. <a href="https://doi.org/10.1017/pds.2022.190">https://doi.org/10.1017/pds.2022.190</a>.'
  ieee: 'I. Gräßler, H. Thiele, B. Grewe, and M. Hieb, “Responsibility Assignment
    in Systems Engineering,” <i>Proceedings of the Design Society</i>, vol. 2, pp.
    1875–1884, 2022, doi: <a href="https://doi.org/10.1017/pds.2022.190">10.1017/pds.2022.190</a>.'
  mla: Gräßler, Iris, et al. “Responsibility Assignment in Systems Engineering.” <i>Proceedings
    of the Design Society</i>, vol. 2, Cambridge University Press (CUP), 2022, pp.
    1875–84, doi:<a href="https://doi.org/10.1017/pds.2022.190">10.1017/pds.2022.190</a>.
  short: I. Gräßler, H. Thiele, B. Grewe, M. Hieb, Proceedings of the Design Society
    2 (2022) 1875–1884.
conference:
  end_date: 2022-05-26
  location: Dubrovnik
  name: 17th International DESIGN Conference
  start_date: 2022-05-23
date_created: 2022-06-27T07:51:41Z
date_updated: 2023-01-24T08:41:31Z
ddc:
- '620'
department:
- _id: '152'
doi: 10.1017/pds.2022.190
file:
- access_level: closed
  content_type: application/pdf
  creator: hthiele
  date_created: 2022-06-27T07:56:35Z
  date_updated: 2022-06-27T07:56:35Z
  file_id: '32175'
  file_name: responsibility-assignment-in-systems-engineering.pdf
  file_size: 787640
  relation: main_file
  success: 1
file_date_updated: 2022-06-27T07:56:35Z
has_accepted_license: '1'
intvolume: '         2'
keyword:
- systems engineering (SE)
- project management
- model-based systems engineering (MBSE)
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/responsibility-assignment-in-systems-engineering/07269DA1B1160C17AF0E0BE6035FD1A2
oa: '1'
page: 1875-1884
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: Responsibility Assignment in Systems Engineering
type: journal_article
user_id: '72252'
volume: 2
year: '2022'
...
---
_id: '31791'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>Requirements changes are a leading
    cause for project failures. Due to propagation effects, change management requires
    dependency analysis. Existing approaches have shortcomings regarding ability to
    process large requirement sets, availability of required data, differentiation
    of propagation behavior and consideration of higher order dependencies. This paper
    introduces a new method for advanced requirement dependency analysis based on
    machine learning. Evaluation proves applicability and high performance by means
    of a case example, 4 development projects and 3 workshops with industry experts.</jats:p>
article_type: original
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Christian
  full_name: Oleff, Christian
  id: '41188'
  last_name: Oleff
  orcid: 0000-0002-0983-1850
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
- first_name: Daniel
  full_name: Preuß, Daniel
  id: '40253'
  last_name: Preuß
citation:
  ama: Gräßler I, Oleff C, Hieb M, Preuß D. Automated Requirement Dependency Analysis
    for Complex Technical Systems. <i>Proceedings of the Design Society</i>. 2022;2:1865-1874.
    doi:<a href="https://doi.org/10.1017/pds.2022.189">10.1017/pds.2022.189</a>
  apa: Gräßler, I., Oleff, C., Hieb, M., &#38; Preuß, D. (2022). Automated Requirement
    Dependency Analysis for Complex Technical Systems. <i>Proceedings of the Design
    Society</i>, <i>2</i>, 1865–1874. <a href="https://doi.org/10.1017/pds.2022.189">https://doi.org/10.1017/pds.2022.189</a>
  bibtex: '@article{Gräßler_Oleff_Hieb_Preuß_2022, title={Automated Requirement Dependency
    Analysis for Complex Technical Systems}, volume={2}, DOI={<a href="https://doi.org/10.1017/pds.2022.189">10.1017/pds.2022.189</a>},
    journal={Proceedings of the Design Society}, publisher={Cambridge University Press
    (CUP)}, author={Gräßler, Iris and Oleff, Christian and Hieb, Michael and Preuß,
    Daniel}, year={2022}, pages={1865–1874} }'
  chicago: 'Gräßler, Iris, Christian Oleff, Michael Hieb, and Daniel Preuß. “Automated
    Requirement Dependency Analysis for Complex Technical Systems.” <i>Proceedings
    of the Design Society</i> 2 (2022): 1865–74. <a href="https://doi.org/10.1017/pds.2022.189">https://doi.org/10.1017/pds.2022.189</a>.'
  ieee: 'I. Gräßler, C. Oleff, M. Hieb, and D. Preuß, “Automated Requirement Dependency
    Analysis for Complex Technical Systems,” <i>Proceedings of the Design Society</i>,
    vol. 2, pp. 1865–1874, 2022, doi: <a href="https://doi.org/10.1017/pds.2022.189">10.1017/pds.2022.189</a>.'
  mla: Gräßler, Iris, et al. “Automated Requirement Dependency Analysis for Complex
    Technical Systems.” <i>Proceedings of the Design Society</i>, vol. 2, Cambridge
    University Press (CUP), 2022, pp. 1865–74, doi:<a href="https://doi.org/10.1017/pds.2022.189">10.1017/pds.2022.189</a>.
  short: I. Gräßler, C. Oleff, M. Hieb, D. Preuß, Proceedings of the Design Society
    2 (2022) 1865–1874.
date_created: 2022-06-07T10:48:12Z
date_updated: 2023-04-27T09:43:18Z
department:
- _id: '152'
doi: 10.1017/pds.2022.189
intvolume: '         2'
language:
- iso: eng
page: 1865-1874
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: Automated Requirement Dependency Analysis for Complex Technical Systems
type: journal_article
user_id: '5905'
volume: 2
year: '2022'
...
---
_id: '33892'
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: Henrik
  full_name: Thiele, Henrik
  id: '33419'
  last_name: Thiele
- first_name: Daniel
  full_name: Preuß, Daniel
  id: '40253'
  last_name: Preuß
- first_name: Benedikt
  full_name: Grewe, Benedikt
  id: '52359'
  last_name: Grewe
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
citation:
  ama: 'Gräßler I, Tusek AM, Thiele H, Preuß D, Grewe B, Hieb M. Literature study
    on the potential of Artificial Intelligence in Scenario-Technique. In: <i>XXXIII
    ISPIM Innovation Conference Proceedings</i>.  LUT Scientific and Expertise Publications;
    2022.'
  apa: Gräßler, I., Tusek, A. M., Thiele, H., Preuß, D., Grewe, B., &#38; Hieb, M.
    (2022). Literature study on the potential of Artificial Intelligence in Scenario-Technique.
    <i>XXXIII ISPIM Innovation Conference Proceedings</i>. XXXIII ISPIM Innovation
    Conference “Innovating in a Digital World,” Copenhagen, Denmark.
  bibtex: '@inproceedings{Gräßler_Tusek_Thiele_Preuß_Grewe_Hieb_2022, place={Copenhagen,
    Denmark}, title={Literature study on the potential of Artificial Intelligence
    in Scenario-Technique}, booktitle={XXXIII ISPIM Innovation Conference Proceedings},
    publisher={ LUT Scientific and Expertise Publications}, author={Gräßler, Iris
    and Tusek, Alena Marie and Thiele, Henrik and Preuß, Daniel and Grewe, Benedikt
    and Hieb, Michael}, year={2022} }'
  chicago: 'Gräßler, Iris, Alena Marie Tusek, Henrik Thiele, Daniel Preuß, Benedikt
    Grewe, and Michael Hieb. “Literature Study on the Potential of Artificial Intelligence
    in Scenario-Technique.” In <i>XXXIII ISPIM Innovation Conference Proceedings</i>.
    Copenhagen, Denmark:  LUT Scientific and Expertise Publications, 2022.'
  ieee: I. Gräßler, A. M. Tusek, H. Thiele, D. Preuß, B. Grewe, and M. Hieb, “Literature
    study on the potential of Artificial Intelligence in Scenario-Technique,” presented
    at the XXXIII ISPIM Innovation Conference “Innovating in a Digital World,” Copenhagen,
    Denmark, 2022.
  mla: Gräßler, Iris, et al. “Literature Study on the Potential of Artificial Intelligence
    in Scenario-Technique.” <i>XXXIII ISPIM Innovation Conference Proceedings</i>,  LUT
    Scientific and Expertise Publications, 2022.
  short: 'I. Gräßler, A.M. Tusek, H. Thiele, D. Preuß, B. Grewe, M. Hieb, in: XXXIII
    ISPIM Innovation Conference Proceedings,  LUT Scientific and Expertise Publications,
    Copenhagen, Denmark, 2022.'
conference:
  end_date: 2022-06-08
  location: Copenhagen, Denmark
  name: XXXIII ISPIM Innovation Conference "Innovating in a Digital World"
  start_date: 2022-06-05
date_created: 2022-10-27T10:00:13Z
date_updated: 2023-04-27T09:45:41Z
department:
- _id: '152'
language:
- iso: eng
place: Copenhagen, Denmark
publication: XXXIII ISPIM Innovation Conference Proceedings
publication_identifier:
  isbn:
  - 978-952-335-694-8
publication_status: published
publisher: ' LUT Scientific and Expertise Publications'
quality_controlled: '1'
status: public
title: Literature study on the potential of Artificial Intelligence in Scenario-Technique
type: conference
user_id: '5905'
year: '2022'
...
---
_id: '34262'
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Michael
  full_name: Hieb, Michael
  id: '72252'
  last_name: Hieb
- first_name: Daniel
  full_name: Roesmann, Daniel
  id: '54680'
  last_name: Roesmann
citation:
  ama: 'Gräßler I, Hieb M, Roesmann D. Gestaltung einer Forschungsinfrastruktur für
    die Anwendung digitaler Werkzeuge in Cyber-Physischen Produktionssystemen. In:
    <i>Automation 2022</i>. VDI Verlag; 2022. doi:<a href="https://doi.org/10.51202/9783181023990-667">10.51202/9783181023990-667</a>'
  apa: Gräßler, I., Hieb, M., &#38; Roesmann, D. (2022). Gestaltung einer Forschungsinfrastruktur
    für die Anwendung digitaler Werkzeuge in Cyber-Physischen Produktionssystemen.
    <i>Automation 2022</i>. <a href="https://doi.org/10.51202/9783181023990-667">https://doi.org/10.51202/9783181023990-667</a>
  bibtex: '@inproceedings{Gräßler_Hieb_Roesmann_2022, title={Gestaltung einer Forschungsinfrastruktur
    für die Anwendung digitaler Werkzeuge in Cyber-Physischen Produktionssystemen},
    DOI={<a href="https://doi.org/10.51202/9783181023990-667">10.51202/9783181023990-667</a>},
    booktitle={Automation 2022}, publisher={VDI Verlag}, author={Gräßler, Iris and
    Hieb, Michael and Roesmann, Daniel}, year={2022} }'
  chicago: Gräßler, Iris, Michael Hieb, and Daniel Roesmann. “Gestaltung Einer Forschungsinfrastruktur
    Für Die Anwendung Digitaler Werkzeuge in Cyber-Physischen Produktionssystemen.”
    In <i>Automation 2022</i>. VDI Verlag, 2022. <a href="https://doi.org/10.51202/9783181023990-667">https://doi.org/10.51202/9783181023990-667</a>.
  ieee: 'I. Gräßler, M. Hieb, and D. Roesmann, “Gestaltung einer Forschungsinfrastruktur
    für die Anwendung digitaler Werkzeuge in Cyber-Physischen Produktionssystemen,”
    2022, doi: <a href="https://doi.org/10.51202/9783181023990-667">10.51202/9783181023990-667</a>.'
  mla: Gräßler, Iris, et al. “Gestaltung Einer Forschungsinfrastruktur Für Die Anwendung
    Digitaler Werkzeuge in Cyber-Physischen Produktionssystemen.” <i>Automation 2022</i>,
    VDI Verlag, 2022, doi:<a href="https://doi.org/10.51202/9783181023990-667">10.51202/9783181023990-667</a>.
  short: 'I. Gräßler, M. Hieb, D. Roesmann, in: Automation 2022, VDI Verlag, 2022.'
date_created: 2022-12-07T10:39:01Z
date_updated: 2023-04-27T09:47:13Z
department:
- _id: '152'
doi: 10.51202/9783181023990-667
language:
- iso: eng
publication: Automation 2022
publication_status: published
publisher: VDI Verlag
quality_controlled: '1'
status: public
title: Gestaltung einer Forschungsinfrastruktur für die Anwendung digitaler Werkzeuge
  in Cyber-Physischen Produktionssystemen
type: conference
user_id: '5905'
year: '2022'
...