---
_id: '55308'
abstract:
- lang: eng
text: Established companies are undertaking major transformation initiatives of
their corporate structures and organisational forms to cope with the complexity
during the engineering of cyber-physical production systems (CPPS). A frequently
discussed issue is the measurability of this transformation progress. This paper
conducts a systematic literature analysis of approaches regarding measurability
of transformation and evaluates their application in the context of a systems
engineering transformation. Measure-ment criteria are derived from the identified
approaches, categorised, and finally evaluated by industry experts regarding their
applicability. The categorised measurement criteria can be used to accurately
measure the progress of a transformation process.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Benedikt
full_name: Grewe, Benedikt
id: '52359'
last_name: Grewe
citation:
ama: 'Gräßler I, Grewe B. Measuring Systems Engineering Transformation: A systematic
literature review. doi:https://doi.org/10.1016/j.procir.2026.01.202'
apa: 'Gräßler, I., & Grewe, B. (n.d.). Measuring Systems Engineering Transformation:
A systematic literature review. 18th CIRP Conference on Intelligent Computation
in Manufacturing Engineering, Ischia, Italy. https://doi.org/10.1016/j.procir.2026.01.202'
bibtex: '@article{Gräßler_Grewe, series={18th CIRP Conference on Intelligent Computation
in Manufacturing Engineering, 10-12 July 2024}, title={Measuring Systems Engineering
Transformation: A systematic literature review}, DOI={https://doi.org/10.1016/j.procir.2026.01.202},
author={Gräßler, Iris and Grewe, Benedikt}, collection={18th CIRP Conference on
Intelligent Computation in Manufacturing Engineering, 10-12 July 2024} }'
chicago: 'Gräßler, Iris, and Benedikt Grewe. “Measuring Systems Engineering Transformation:
A Systematic Literature Review.” 18th CIRP Conference on Intelligent Computation
in Manufacturing Engineering, 10-12 July 2024, n.d. https://doi.org/10.1016/j.procir.2026.01.202.'
ieee: 'I. Gräßler and B. Grewe, “Measuring Systems Engineering Transformation: A
systematic literature review.” doi: https://doi.org/10.1016/j.procir.2026.01.202.'
mla: 'Gräßler, Iris, and Benedikt Grewe. Measuring Systems Engineering Transformation:
A Systematic Literature Review. doi:https://doi.org/10.1016/j.procir.2026.01.202.'
short: I. Gräßler, B. Grewe, (n.d.).
conference:
end_date: 2024-07-12
location: Ischia, Italy
name: 18th CIRP Conference on Intelligent Computation in Manufacturing Engineering
start_date: 2024-07-10
date_created: 2024-07-17T12:49:44Z
date_updated: 2026-02-24T07:41:48Z
department:
- _id: '152'
doi: https://doi.org/10.1016/j.procir.2026.01.202
keyword:
- Organizational Transformation
- Systems Engineering
- Meausrement
- Metrics
- Organizational Change
language:
- iso: eng
publication_status: inpress
quality_controlled: '1'
series_title: 18th CIRP Conference on Intelligent Computation in Manufacturing Engineering,
10-12 July 2024
status: public
title: 'Measuring Systems Engineering Transformation: A systematic literature review'
type: conference
user_id: '52359'
year: '2026'
...
---
_id: '64602'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Philipp
full_name: Hesse, Philipp
id: '60633'
last_name: Hesse
- first_name: Ulrich
full_name: Jahnke, Ulrich
last_name: Jahnke
- first_name: Matthias
full_name: Habdank, Matthias
last_name: Habdank
citation:
ama: 'Gräßler I, Hesse P, Jahnke U, Habdank M. Verification of CO2 emissions for
the generative design of lightweight mobility systems using digital product passport.
In: Procedia CIRP. Vol 138. Elsevier BV; 2026:915-920. doi:10.1016/j.procir.2026.01.158'
apa: Gräßler, I., Hesse, P., Jahnke, U., & Habdank, M. (2026). Verification
of CO2 emissions for the generative design of lightweight mobility systems using
digital product passport. Procedia CIRP, 138, 915–920. https://doi.org/10.1016/j.procir.2026.01.158
bibtex: '@inproceedings{Gräßler_Hesse_Jahnke_Habdank_2026, title={Verification of
CO2 emissions for the generative design of lightweight mobility systems using
digital product passport}, volume={138}, DOI={10.1016/j.procir.2026.01.158},
booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Gräßler, Iris and
Hesse, Philipp and Jahnke, Ulrich and Habdank, Matthias}, year={2026}, pages={915–920}
}'
chicago: Gräßler, Iris, Philipp Hesse, Ulrich Jahnke, and Matthias Habdank. “Verification
of CO2 Emissions for the Generative Design of Lightweight Mobility Systems Using
Digital Product Passport.” In Procedia CIRP, 138:915–20. Elsevier BV, 2026.
https://doi.org/10.1016/j.procir.2026.01.158.
ieee: 'I. Gräßler, P. Hesse, U. Jahnke, and M. Habdank, “Verification of CO2 emissions
for the generative design of lightweight mobility systems using digital product
passport,” in Procedia CIRP, 2026, vol. 138, pp. 915–920, doi: 10.1016/j.procir.2026.01.158.'
mla: Gräßler, Iris, et al. “Verification of CO2 Emissions for the Generative Design
of Lightweight Mobility Systems Using Digital Product Passport.” Procedia CIRP,
vol. 138, Elsevier BV, 2026, pp. 915–20, doi:10.1016/j.procir.2026.01.158.
short: 'I. Gräßler, P. Hesse, U. Jahnke, M. Habdank, in: Procedia CIRP, Elsevier
BV, 2026, pp. 915–920.'
date_created: 2026-02-24T07:31:34Z
date_updated: 2026-02-24T07:33:36Z
department:
- _id: '152'
doi: 10.1016/j.procir.2026.01.158
intvolume: ' 138'
language:
- iso: eng
page: 915-920
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Verification of CO2 emissions for the generative design of lightweight mobility
systems using digital product passport
type: conference
user_id: '5905'
volume: 138
year: '2026'
...
---
_id: '64603'
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
citation:
ama: 'Gräßler I, Tusek AM. Sustainability criteria for future foresight in manufacturing
companies. In: Procedia CIRP. Vol 138. Elsevier BV; 2026:945-950. doi:10.1016/j.procir.2026.01.163'
apa: Gräßler, I., & Tusek, A. M. (2026). Sustainability criteria for future
foresight in manufacturing companies. Procedia CIRP, 138, 945–950.
https://doi.org/10.1016/j.procir.2026.01.163
bibtex: '@inproceedings{Gräßler_Tusek_2026, title={Sustainability criteria for future
foresight in manufacturing companies}, volume={138}, DOI={10.1016/j.procir.2026.01.163},
booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Gräßler, Iris and
Tusek, Alena Marie}, year={2026}, pages={945–950} }'
chicago: Gräßler, Iris, and Alena Marie Tusek. “Sustainability Criteria for Future
Foresight in Manufacturing Companies.” In Procedia CIRP, 138:945–50. Elsevier
BV, 2026. https://doi.org/10.1016/j.procir.2026.01.163.
ieee: 'I. Gräßler and A. M. Tusek, “Sustainability criteria for future foresight
in manufacturing companies,” in Procedia CIRP, 2026, vol. 138, pp. 945–950,
doi: 10.1016/j.procir.2026.01.163.'
mla: Gräßler, Iris, and Alena Marie Tusek. “Sustainability Criteria for Future Foresight
in Manufacturing Companies.” Procedia CIRP, vol. 138, Elsevier BV, 2026,
pp. 945–50, doi:10.1016/j.procir.2026.01.163.
short: 'I. Gräßler, A.M. Tusek, in: Procedia CIRP, Elsevier BV, 2026, pp. 945–950.'
date_created: 2026-02-24T07:33:57Z
date_updated: 2026-02-24T07:34:47Z
department:
- _id: '152'
doi: 10.1016/j.procir.2026.01.163
intvolume: ' 138'
language:
- iso: eng
page: 945-950
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Sustainability criteria for future foresight in manufacturing companies
type: conference
user_id: '5905'
volume: 138
year: '2026'
...
---
_id: '65821'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
orcid: https://orcid.org/0000-0003-0602-9923
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Florian
full_name: Luessen, Florian
last_name: Luessen
- first_name: Joerg
full_name: Hoffmann, Joerg
last_name: Hoffmann
citation:
ama: Gräßler I, Rarbach S, Pottebaum J, Luessen F, Hoffmann J. Metadata Model for
Engineering of Sustainable Products in Value Creation Networks. Procedia CIRP.
2026;140:587-592. doi:10.1016/j.procir.2026.05.099
apa: Gräßler, I., Rarbach, S., Pottebaum, J., Luessen, F., & Hoffmann, J. (2026).
Metadata Model for Engineering of Sustainable Products in Value Creation Networks.
Procedia CIRP, 140, 587–592. https://doi.org/10.1016/j.procir.2026.05.099
bibtex: '@article{Gräßler_Rarbach_Pottebaum_Luessen_Hoffmann_2026, title={Metadata
Model for Engineering of Sustainable Products in Value Creation Networks}, volume={140},
DOI={10.1016/j.procir.2026.05.099},
journal={Procedia CIRP}, publisher={Elsevier BV}, author={Gräßler, Iris and Rarbach,
Sven and Pottebaum, Jens and Luessen, Florian and Hoffmann, Joerg}, year={2026},
pages={587–592} }'
chicago: 'Gräßler, Iris, Sven Rarbach, Jens Pottebaum, Florian Luessen, and Joerg
Hoffmann. “Metadata Model for Engineering of Sustainable Products in Value Creation
Networks.” Procedia CIRP 140 (2026): 587–92. https://doi.org/10.1016/j.procir.2026.05.099.'
ieee: 'I. Gräßler, S. Rarbach, J. Pottebaum, F. Luessen, and J. Hoffmann, “Metadata
Model for Engineering of Sustainable Products in Value Creation Networks,” Procedia
CIRP, vol. 140, pp. 587–592, 2026, doi: 10.1016/j.procir.2026.05.099.'
mla: Gräßler, Iris, et al. “Metadata Model for Engineering of Sustainable Products
in Value Creation Networks.” Procedia CIRP, vol. 140, Elsevier BV, 2026,
pp. 587–92, doi:10.1016/j.procir.2026.05.099.
short: I. Gräßler, S. Rarbach, J. Pottebaum, F. Luessen, J. Hoffmann, Procedia CIRP
140 (2026) 587–592.
date_created: 2026-06-10T05:01:47Z
date_updated: 2026-06-10T05:03:31Z
department:
- _id: '152'
doi: 10.1016/j.procir.2026.05.099
intvolume: ' 140'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2212827126006013/pdf?md5=889a9eaf4f695e80c5f18d346c50f663&pid=1-s2.0-S2212827126006013-main.pdf
oa: '1'
page: 587-592
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Metadata Model for Engineering of Sustainable Products in Value Creation Networks
type: journal_article
user_id: '67999'
volume: 140
year: '2026'
...
---
_id: '65820'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
orcid: https://orcid.org/0000-0003-0602-9923
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Joerg
full_name: Hoffmann, Joerg
last_name: Hoffmann
citation:
ama: Gräßler I, Rarbach S, Pottebaum J, Hoffmann J. Metadata-based assessment of
Data Quality for Engineering of Sustainable Products. Procedia CIRP. 2026;142:245-250.
doi:10.1016/j.procir.2026.05.255
apa: Gräßler, I., Rarbach, S., Pottebaum, J., & Hoffmann, J. (2026). Metadata-based
assessment of Data Quality for Engineering of Sustainable Products. Procedia
CIRP, 142, 245–250. https://doi.org/10.1016/j.procir.2026.05.255
bibtex: '@article{Gräßler_Rarbach_Pottebaum_Hoffmann_2026, title={Metadata-based
assessment of Data Quality for Engineering of Sustainable Products}, volume={142},
DOI={10.1016/j.procir.2026.05.255},
journal={Procedia CIRP}, publisher={Elsevier BV}, author={Gräßler, Iris and Rarbach,
Sven and Pottebaum, Jens and Hoffmann, Joerg}, year={2026}, pages={245–250} }'
chicago: 'Gräßler, Iris, Sven Rarbach, Jens Pottebaum, and Joerg Hoffmann. “Metadata-Based
Assessment of Data Quality for Engineering of Sustainable Products.” Procedia
CIRP 142 (2026): 245–50. https://doi.org/10.1016/j.procir.2026.05.255.'
ieee: 'I. Gräßler, S. Rarbach, J. Pottebaum, and J. Hoffmann, “Metadata-based assessment
of Data Quality for Engineering of Sustainable Products,” Procedia CIRP,
vol. 142, pp. 245–250, 2026, doi: 10.1016/j.procir.2026.05.255.'
mla: Gräßler, Iris, et al. “Metadata-Based Assessment of Data Quality for Engineering
of Sustainable Products.” Procedia CIRP, vol. 142, Elsevier BV, 2026, pp.
245–50, doi:10.1016/j.procir.2026.05.255.
short: I. Gräßler, S. Rarbach, J. Pottebaum, J. Hoffmann, Procedia CIRP 142 (2026)
245–250.
date_created: 2026-06-10T05:00:33Z
date_updated: 2026-06-10T05:02:40Z
department:
- _id: '152'
doi: 10.1016/j.procir.2026.05.255
intvolume: ' 142'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2212827126008280/pdf?md5=a68bc0683e223e6c598c33c8eba92912&pid=1-s2.0-S2212827126008280-main.pdf
oa: '1'
page: 245-250
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Metadata-based assessment of Data Quality for Engineering of Sustainable Products
type: journal_article
user_id: '67999'
volume: 142
year: '2026'
...
---
_id: '66288'
abstract:
- lang: eng
text: "ABSTRACT:\r\n Engineers
simulate system behavior to support decisions in product engineering. Leveraging
such engineering simulation data in strategic product planning can support idea
generation and early evaluation of design alternatives and limitations. However,
limited resources and expertise hinder broader uptake in strategic product planning.
This paper investigates simulator integration into automated workflows and key
processing components to enable simulation without in-depth expertise. This approach
improves strategic product planning by creating data-based decision support."
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Niklas
full_name: Döhner, Niklas
id: '108017'
last_name: Döhner
orcid: https://orcid.org/0009-0005-7676-4036
citation:
ama: 'Gräßler I, Döhner N. Leveraging extreme-scale simulation data: a workflow
framework for multidisciplinary simulator integration. In: Proceedings of the
Design Society. Vol 6. Cambridge University Press (CUP); 2026:357-366. doi:10.1017/pds.2026.10394'
apa: 'Gräßler, I., & Döhner, N. (2026). Leveraging extreme-scale simulation
data: a workflow framework for multidisciplinary simulator integration. Proceedings
of the Design Society, 6, 357–366. https://doi.org/10.1017/pds.2026.10394'
bibtex: '@inproceedings{Gräßler_Döhner_2026, title={Leveraging extreme-scale simulation
data: a workflow framework for multidisciplinary simulator integration}, volume={6},
DOI={10.1017/pds.2026.10394},
booktitle={Proceedings of the Design Society}, publisher={Cambridge University
Press (CUP)}, author={Gräßler, Iris and Döhner, Niklas}, year={2026}, pages={357–366}
}'
chicago: 'Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation
Data: A Workflow Framework for Multidisciplinary Simulator Integration.” In Proceedings
of the Design Society, 6:357–66. Cambridge University Press (CUP), 2026. https://doi.org/10.1017/pds.2026.10394.'
ieee: 'I. Gräßler and N. Döhner, “Leveraging extreme-scale simulation data: a workflow
framework for multidisciplinary simulator integration,” in Proceedings of the
Design Society, 2026, vol. 6, pp. 357–366, doi: 10.1017/pds.2026.10394.'
mla: 'Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data:
A Workflow Framework for Multidisciplinary Simulator Integration.” Proceedings
of the Design Society, vol. 6, Cambridge University Press (CUP), 2026, pp.
357–66, doi:10.1017/pds.2026.10394.'
short: 'I. Gräßler, N. Döhner, in: Proceedings of the Design Society, Cambridge
University Press (CUP), 2026, pp. 357–366.'
date_created: 2026-07-06T15:45:02Z
date_updated: 2026-07-06T15:50:37Z
department:
- _id: '152'
doi: 10.1017/pds.2026.10394
intvolume: ' 6'
keyword:
- simulation-based design
- design tools
- multi-/cross-/trans-disciplinary approaches
- simulation data reuse
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/leveraging-extremescale-simulation-data-a-workflow-framework-for-multidisciplinary-simulator-integration/7487C465DBA5DC633F1A37609C2E3D70
oa: '1'
page: 357-366
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: 'Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary
simulator integration'
type: conference
user_id: '108017'
volume: 6
year: '2026'
...
---
_id: '66332'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
orcid: https://orcid.org/0000-0003-0602-9923
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
citation:
ama: 'Gräßler I, Rarbach S, Pottebaum J. PLM und Datenökosysteme für eine MBSE-basierte
zirkuläre Wertschöpfung. In: Nachhaltigkeit in der Produktentwicklung.
Springer Fachmedien Wiesbaden; 2026. doi:10.1007/978-3-658-52117-2_17'
apa: Gräßler, I., Rarbach, S., & Pottebaum, J. (2026). PLM und Datenökosysteme
für eine MBSE-basierte zirkuläre Wertschöpfung. In Nachhaltigkeit in der Produktentwicklung.
Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-52117-2_17
bibtex: '@inbook{Gräßler_Rarbach_Pottebaum_2026, place={Wiesbaden}, title={PLM und
Datenökosysteme für eine MBSE-basierte zirkuläre Wertschöpfung}, DOI={10.1007/978-3-658-52117-2_17},
booktitle={Nachhaltigkeit in der Produktentwicklung}, publisher={Springer Fachmedien
Wiesbaden}, author={Gräßler, Iris and Rarbach, Sven and Pottebaum, Jens}, year={2026}
}'
chicago: 'Gräßler, Iris, Sven Rarbach, and Jens Pottebaum. “PLM und Datenökosysteme
für eine MBSE-basierte zirkuläre Wertschöpfung.” In Nachhaltigkeit in der Produktentwicklung.
Wiesbaden: Springer Fachmedien Wiesbaden, 2026. https://doi.org/10.1007/978-3-658-52117-2_17.'
ieee: 'I. Gräßler, S. Rarbach, and J. Pottebaum, “PLM und Datenökosysteme für eine
MBSE-basierte zirkuläre Wertschöpfung,” in Nachhaltigkeit in der Produktentwicklung,
Wiesbaden: Springer Fachmedien Wiesbaden, 2026.'
mla: Gräßler, Iris, et al. “PLM und Datenökosysteme für eine MBSE-basierte zirkuläre
Wertschöpfung.” Nachhaltigkeit in der Produktentwicklung, Springer Fachmedien
Wiesbaden, 2026, doi:10.1007/978-3-658-52117-2_17.
short: 'I. Gräßler, S. Rarbach, J. Pottebaum, in: Nachhaltigkeit in der Produktentwicklung,
Springer Fachmedien Wiesbaden, Wiesbaden, 2026.'
date_created: 2026-07-08T07:01:48Z
date_updated: 2026-07-08T07:04:22Z
department:
- _id: '152'
doi: 10.1007/978-3-658-52117-2_17
language:
- iso: ger
place: Wiesbaden
publication: Nachhaltigkeit in der Produktentwicklung
publication_identifier:
isbn:
- '9783658521165'
- '9783658521172'
publication_status: published
publisher: Springer Fachmedien Wiesbaden
quality_controlled: '1'
status: public
title: PLM und Datenökosysteme für eine MBSE-basierte zirkuläre Wertschöpfung
type: book_chapter
user_id: '67999'
year: '2026'
...
---
_id: '66547'
abstract:
- lang: eng
text: 'Tacit knowledge is particularly valuable in product engineering. Experiences
reside in minds of employees and are not systematically documented but could have
a significant influence on sustainable product engineering. Existing approaches
do not offer sufficient support for harnessing technical tacit knowledge regarding
sustainable product engineering. In this paper a three-step method is presented:
The method contains knowledge acquisition, requirements extraction und requirements
validation for quality assurance. Acquisition is performed by support artifacts
like interview guidelines. Extraction is supported by Artificial Intelligence,
converting statements into requirements. These requirements are validated using
a specific questionnaire. The developed approach is applied in a funded project
of the European Union (EU) with automotive industry partners. The method supports
product engineers to collect tacit knowledge from experienced employees, transform
unsystematic knowledge into standardized technical requirements and validate them.
Application of this method enables creation of validated requirements that can
be applied throughout the company and are not exclusively dependent on a single
employee.'
author:
- first_name: Johanna
full_name: Mansheim, Johanna
id: '98210'
last_name: Mansheim
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Jan Niklas
full_name: Pfeifer, Jan Niklas
id: '62841'
last_name: Pfeifer
citation:
ama: 'Mansheim J, Gräßler I, Pfeifer JN. Harnessing tacit Knowledge from Sustainable
Product Engineering through Artificial Intelligence. In: Graessler I, ed. 1st
International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
University. Vol 1. International Symposium on Hybrid Intelligence in Product
and Production Engineering. Universitätsbibliothek; 2026:229-238. doi:10.17619/UNIPB/1-2639'
apa: 'Mansheim, J., Gräßler, I., & Pfeifer, J. N. (2026). Harnessing tacit Knowledge
from Sustainable Product Engineering through Artificial Intelligence. In I. Graessler
(Ed.), 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University (Vol. 1, pp. 229–238). Universitätsbibliothek. https://doi.org/10.17619/UNIPB/1-2639'
bibtex: '@inproceedings{Mansheim_Gräßler_Pfeifer_2026, place={Paderborn}, series={International
Symposium on Hybrid Intelligence in Product and Production Engineering}, title={Harnessing
tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence},
volume={1}, DOI={10.17619/UNIPB/1-2639},
booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University}, publisher={Universitätsbibliothek}, author={Mansheim, Johanna
and Gräßler, Iris and Pfeifer, Jan Niklas}, editor={Graessler, Iris}, year={2026},
pages={229–238}, collection={International Symposium on Hybrid Intelligence in
Product and Production Engineering} }'
chicago: 'Mansheim, Johanna, Iris Gräßler, and Jan Niklas Pfeifer. “Harnessing Tacit
Knowledge from Sustainable Product Engineering through Artificial Intelligence.”
In 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University, edited by Iris Graessler, 1:229–38. International Symposium
on Hybrid Intelligence in Product and Production Engineering. Paderborn: Universitätsbibliothek,
2026. https://doi.org/10.17619/UNIPB/1-2639.'
ieee: 'J. Mansheim, I. Gräßler, and J. N. Pfeifer, “Harnessing tacit Knowledge from
Sustainable Product Engineering through Artificial Intelligence,” in 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University,
Paderborn, 2026, vol. 1, pp. 229–238, doi: 10.17619/UNIPB/1-2639.'
mla: 'Mansheim, Johanna, et al. “Harnessing Tacit Knowledge from Sustainable Product
Engineering through Artificial Intelligence.” 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, edited
by Iris Graessler, vol. 1, Universitätsbibliothek, 2026, pp. 229–38, doi:10.17619/UNIPB/1-2639.'
short: 'J. Mansheim, I. Gräßler, J.N. Pfeifer, in: I. Graessler (Ed.), 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University,
Universitätsbibliothek, Paderborn, 2026, pp. 229–238.'
conference:
end_date: 2026-03-26
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1. 2026 Paderborn
start_date: 2026-03-24
date_created: 2026-07-20T13:16:49Z
date_updated: 2026-08-13T09:02:56Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2639
editor:
- first_name: Iris
full_name: Graessler, Iris
last_name: Graessler
intvolume: ' 1'
keyword:
- Tacit knowledge
- Sustainability
- Product Engineering
- Artificial Intelligence
language:
- iso: eng
page: 229-238
place: Paderborn
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
publication_status: published
publisher: Universitätsbibliothek
quality_controlled: '1'
series_title: International Symposium on Hybrid Intelligence in Product and Production
Engineering
status: public
title: Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial
Intelligence
type: conference
user_id: '98210'
volume: 1
year: '2026'
...
---
_id: '66514'
abstract:
- lang: eng
text: Manufacturing companies increasingly integrate the strive towards sustainability
into product engineering to reduce resource consumption and environmental impacts.
A substantial share of a product’s environmental performance is determined during
engineering. Early assessments rely on generic data, which is gradually replaced
by more concrete simulation and primary data as product maturity increases. The
effective use of engineering simulation models for Life Cycle Assessment (LCA)
therefore remains a central challenge under heterogeneous, distributed and rapidly
evolving data. This article presents a systematic review of product engineering
approaches for integrating simulation models into LCA. A seven-step research approach
is applied to identify, categorize and evaluate existing approaches across CAx
tools. Relevant simulation parameters for sustainability assessment, including
material properties, process descriptors, consumables and waste streams, are identified
and analyzed. Based on identified data characteristics, the potential of Data
Science and Artificial Intelligence methods for LCA data preparation is assessed.
A conceptual knowledge-graph-based decision support approach is derived to enable
structured integration, traceability and reuse of simulation data for sustainability
assessment. The approach is evaluated using criteria from literature. Structured
integration of simulation data improves early-stage data quality and supports
decision-making in sustainable product engineering.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Simon
full_name: Aydin, Simon
id: '74512'
last_name: Aydin
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
orcid: https://orcid.org/0000-0003-0602-9923
citation:
ama: 'Gräßler I, Aydin S, Rarbach S. Systematic review of engineering simulation
models for life cycle assessment. In: Gräßler I, ed. 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University. Universitätsbibliothek;
2026. doi:10.17619/UNIPB/1-2637'
apa: 'Gräßler, I., Aydin, S., & Rarbach, S. (2026). Systematic review of engineering
simulation models for life cycle assessment. In I. Gräßler (Ed.), 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University.
Universitätsbibliothek. https://doi.org/10.17619/UNIPB/1-2637'
bibtex: '@inproceedings{Gräßler_Aydin_Rarbach_2026, place={Paderborn}, title={Systematic
review of engineering simulation models for life cycle assessment}, DOI={10.17619/UNIPB/1-2637},
booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University}, publisher={Universitätsbibliothek}, author={Gräßler, Iris
and Aydin, Simon and Rarbach, Sven}, editor={Gräßler, Iris}, year={2026} }'
chicago: 'Gräßler, Iris, Simon Aydin, and Sven Rarbach. “Systematic Review of Engineering
Simulation Models for Life Cycle Assessment.” In 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, edited
by Iris Gräßler. Paderborn: Universitätsbibliothek, 2026. https://doi.org/10.17619/UNIPB/1-2637.'
ieee: 'I. Gräßler, S. Aydin, and S. Rarbach, “Systematic review of engineering simulation
models for life cycle assessment,” in 1st International Symposium: March 24
– 26, 2026, Heinz Nixdorf Institute, Paderborn University, Paderborn, 2026,
doi: 10.17619/UNIPB/1-2637.'
mla: 'Gräßler, Iris, et al. “Systematic Review of Engineering Simulation Models
for Life Cycle Assessment.” 1st International Symposium: March 24 – 26, 2026,
Heinz Nixdorf Institute, Paderborn University, edited by Iris Gräßler, Universitätsbibliothek,
2026, doi:10.17619/UNIPB/1-2637.'
short: 'I. Gräßler, S. Aydin, S. Rarbach, in: I. Gräßler (Ed.), 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University,
Universitätsbibliothek, Paderborn, 2026.'
conference:
end_date: '20260326'
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1. 2026 Paderborn
start_date: '20260324'
date_created: 2026-07-16T09:41:28Z
date_updated: 2026-08-13T08:18:14Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2637
editor:
- first_name: Iris
full_name: Gräßler, Iris
last_name: Gräßler
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/8359171
oa: '1'
place: Paderborn
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: Systematic review of engineering simulation models for life cycle assessment
type: conference
user_id: '67999'
year: '2026'
...
---
_id: '66683'
abstract:
- lang: eng
text: Design for Assembly, Disassembly and Reassembly (DfADR) prepares for high
levels of material circularity in terms of repair and remanufacturing. The intention
of reassembling products and their part simplies that inspection and sorting need
to be integrated with value-conserving objectives. Further, disassembly and reassembly
require higher competence levels of workforce than assembly. To provide the required
information during engineering, a metadata model (MDM) is required that links
established product models to capability models. Since processes to be carried
out for realizing a product largely determine required employees’ capabilities,
the proposed approach uses the ADR process domain to connect product and capability
domains. The research is based on a systematic literature analysis to identify
existing approaches regarding MDMs of ADR processes. Based on the results, an
integrative MDM is developed that answers defined competence questions. The model
enables queries which support engineers by feedback on which skills are required
for a product. This builds up a basis to check whether required skills are available
in the manufacturing company, either early in product engineering or later in
ADR planning.
author:
- first_name: I.
full_name: Gräßler, I.
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Thomas
full_name: Hesse, Thomas
id: '76202'
last_name: Hesse
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
citation:
ama: 'Gräßler I, Hesse T, Pottebaum J. Enabling extreme data by using DS/AI approaches.
In: Graessler I, ed. 1st International Symposium on Hybrid Intelligence in
Product and Production Engineering. Universitätsbibliothek; 2026. doi:10.17619/UNIPB/1-2640'
apa: Gräßler, I., Hesse, T., & Pottebaum, J. (2026). Enabling extreme data by
using DS/AI approaches. In I. Graessler (Ed.), 1st International Symposium
on Hybrid Intelligence in Product and Production Engineering. Universitätsbibliothek.
https://doi.org/10.17619/UNIPB/1-2640
bibtex: '@inproceedings{Gräßler_Hesse_Pottebaum_2026, place={Paderborn}, title={Enabling
extreme data by using DS/AI approaches}, DOI={10.17619/UNIPB/1-2640},
booktitle={1st International Symposium on Hybrid Intelligence in Product and Production
Engineering}, publisher={Universitätsbibliothek}, author={Gräßler, I. and Hesse,
Thomas and Pottebaum, Jens}, editor={Graessler, Iris}, year={2026} }'
chicago: 'Gräßler, I., Thomas Hesse, and Jens Pottebaum. “Enabling Extreme Data
by Using DS/AI Approaches.” In 1st International Symposium on Hybrid Intelligence
in Product and Production Engineering, edited by Iris Graessler. Paderborn:
Universitätsbibliothek, 2026. https://doi.org/10.17619/UNIPB/1-2640.'
ieee: 'I. Gräßler, T. Hesse, and J. Pottebaum, “Enabling extreme data by using DS/AI
approaches,” in 1st International Symposium on Hybrid Intelligence in Product
and Production Engineering, Paderborn, 2026, doi: 10.17619/UNIPB/1-2640.'
mla: Gräßler, I., et al. “Enabling Extreme Data by Using DS/AI Approaches.” 1st
International Symposium on Hybrid Intelligence in Product and Production Engineering,
edited by Iris Graessler, Universitätsbibliothek, 2026, doi:10.17619/UNIPB/1-2640.
short: 'I. Gräßler, T. Hesse, J. Pottebaum, in: I. Graessler (Ed.), 1st International
Symposium on Hybrid Intelligence in Product and Production Engineering, Universitätsbibliothek,
Paderborn, 2026.'
conference:
location: Paderborn
start_date: '25'
date_created: 2026-08-07T11:59:52Z
date_updated: 2026-08-13T08:14:20Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2640
editor:
- first_name: Iris
full_name: Graessler, Iris
last_name: Graessler
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Paderborn
publication: 1st International Symposium on Hybrid Intelligence in Product and Production
Engineering
publication_status: published
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: Enabling extreme data by using DS/AI approaches
type: conference
user_id: '76202'
year: '2026'
...
---
_id: '66704'
citation:
ama: 'Gräßler I, ed. 1st International Symposium : March 24 – 26, 2026, Heinz
Nixdorf Institute, Paderborn University. Universitätsbibliothek; 2026. doi:10.17619/UNIPB/1-2663'
apa: 'Gräßler, I. (Ed.). (2026). 1st International Symposium : March 24 – 26,
2026, Heinz Nixdorf Institute, Paderborn University. Universitätsbibliothek.
https://doi.org/10.17619/UNIPB/1-2663'
bibtex: '@book{Gräßler_2026, title={1st International Symposium : March 24 – 26,
2026, Heinz Nixdorf Institute, Paderborn University}, DOI={10.17619/UNIPB/1-2663},
publisher={Universitätsbibliothek}, year={2026} }'
chicago: 'Gräßler, Iris, ed. 1st International Symposium : March 24 – 26, 2026,
Heinz Nixdorf Institute, Paderborn University. Universitätsbibliothek, 2026.
https://doi.org/10.17619/UNIPB/1-2663.'
ieee: 'I. Gräßler, Ed., 1st International Symposium : March 24 – 26, 2026, Heinz
Nixdorf Institute, Paderborn University. Universitätsbibliothek, 2026.'
mla: 'Gräßler, Iris, editor. 1st International Symposium : March 24 – 26, 2026,
Heinz Nixdorf Institute, Paderborn University. Universitätsbibliothek, 2026,
doi:10.17619/UNIPB/1-2663.'
short: 'I. Gräßler, ed., 1st International Symposium : March 24 – 26, 2026, Heinz
Nixdorf Institute, Paderborn University, Universitätsbibliothek, 2026.'
conference:
end_date: '20260326'
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1
start_date: '20260324'
date_created: 2026-08-13T08:39:46Z
date_updated: 2026-08-13T08:46:01Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2663
editor:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/8360574
oa: '1'
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: '1st International Symposium : March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
type: conference_editor
user_id: '5905'
year: '2026'
...
---
_id: '66517'
abstract:
- lang: eng
text: Models of Circular Economy introduce circularity strategies like reuse, repair
or remanufacture. A significant level of complexity is added when these strategies
are applied not only on integrated product level, but on lower levels of assemblies
and parts. Therefore, approaches, like Design for Assembly, Disassembly and Reassembly
(DfADR) become increasingly important including the consideration of ADR capabilities.
To put DfADR into practice, it is necessary to structure ADR-related product data
and make it usable for product engineers. For instance, assemblies resulting from
disassembly might not be consistent with original assembly structures. Therefore,
a Product Meta Data Model (MDM) is required to handle assembly-related data even
when it has extreme characteristics. A literature review on related MDMs reveals
a range of models for general product data and identifies a gap in consideration
of assembly-related data. In an expert workshop, requirements are raised to evaluate
existing models and develop ADR-related extensions. The MDM is conceptually modelled
and validated by competence questions. The paper presents an approach that makes
assembly-related data usable for hybrid decision support and enables engineers
to think ahead of ADR processes.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Felix
full_name: Vollenkemper, Felix
id: '74028'
last_name: Vollenkemper
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
citation:
ama: 'Gräßler I, Vollenkemper F, Pottebaum J. A product Meta Data Model of assembly-related
extreme data to enable hybrid decision support. In: Graessler I, ed. 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University.
Universitätsbibliothek; 2026. doi:10.17619/UNIPB/1-2642'
apa: 'Gräßler, I., Vollenkemper, F., & Pottebaum, J. (2026). A product Meta
Data Model of assembly-related extreme data to enable hybrid decision support.
In I. Graessler (Ed.), 1st International Symposium: March 24 – 26, 2026, Heinz
Nixdorf Institute, Paderborn University. Universitätsbibliothek. https://doi.org/10.17619/UNIPB/1-2642'
bibtex: '@inproceedings{Gräßler_Vollenkemper_Pottebaum_2026, place={Paderborn},
title={A product Meta Data Model of assembly-related extreme data to enable hybrid
decision support}, DOI={10.17619/UNIPB/1-2642},
booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University}, publisher={Universitätsbibliothek}, author={Gräßler, Iris
and Vollenkemper, Felix and Pottebaum, Jens}, editor={Graessler, Iris}, year={2026}
}'
chicago: 'Gräßler, Iris, Felix Vollenkemper, and Jens Pottebaum. “A Product Meta
Data Model of Assembly-Related Extreme Data to Enable Hybrid Decision Support.”
In 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University, edited by Iris Graessler. Paderborn: Universitätsbibliothek,
2026. https://doi.org/10.17619/UNIPB/1-2642.'
ieee: 'I. Gräßler, F. Vollenkemper, and J. Pottebaum, “A product Meta Data Model
of assembly-related extreme data to enable hybrid decision support,” in 1st
International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
University, Paderborn, 2026, doi: 10.17619/UNIPB/1-2642.'
mla: 'Gräßler, Iris, et al. “A Product Meta Data Model of Assembly-Related Extreme
Data to Enable Hybrid Decision Support.” 1st International Symposium: March
24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, edited by Iris
Graessler, Universitätsbibliothek, 2026, doi:10.17619/UNIPB/1-2642.'
short: 'I. Gräßler, F. Vollenkemper, J. Pottebaum, in: I. Graessler (Ed.), 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University,
Universitätsbibliothek, Paderborn, 2026.'
conference:
end_date: 2026-03-26
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1. 2026 Paderborn
start_date: 2026-03-24
date_created: 2026-07-16T11:58:01Z
date_updated: 2026-08-24T11:42:17Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2642
editor:
- first_name: Iris
full_name: Graessler, Iris
last_name: Graessler
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Paderborn
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
publication_status: published
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: A product Meta Data Model of assembly-related extreme data to enable hybrid
decision support
type: conference
user_id: '74028'
year: '2026'
...
---
_id: '66709'
abstract:
- lang: eng
text: In increasingly volatile and uncertain markets, corporate resilience has become
a critical capability in strategic product planning. Companies face significant
challenges in systematically monitoring and interpreting heterogeneous environmental
data originating from diverse sources, formats, and temporal contexts. While predefined
workflows and decision trees can support strategic analysis, they often lack the
flexibility required to cope with dynamic market conditions and foresightrelated
data from extreme dispersed and heterogeneous sources. This paper proposes a method
to enhance corporate resilience through the application of generic, reusable AI-based
workflows in strategic product planning. The approach integrates Data Science
and Artificial Intelligence methods into modular, visually modelled workflows
that enable hybrid human-AI decision-making. Based on a systematic literature
review and an analysis of industrial challenges, key success factors and resilience
criteria are identified. These insights are used to develop a method that supports
internal and external analyses, scenario-based strategy development, and adaptive
implementation monitoring within a generic workflow structure. The method leverages
techniques such as machine learning and generative AI to process structured and
unstructured data, identify patterns, and support real-time strategic assessments.
Validation with decision-makers from medium-sized companies demonstrates improved
transparency, repeatability, and cross-functional collaboration compared to predefined
workflows.
author:
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
citation:
ama: 'Özcan D, Gräßler I. Corporate resilience through generic AI-based workflows
in strategic product planning. In: Graessler I, ed. 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University. Universitätsbibliothek;
2026. doi:10.17619/UNIPB/1-2636'
apa: 'Özcan, D., & Gräßler, I. (2026). Corporate resilience through generic
AI-based workflows in strategic product planning. In I. Graessler (Ed.), 1st
International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
University. Universitätsbibliothek. https://doi.org/10.17619/UNIPB/1-2636'
bibtex: '@inproceedings{Özcan_Gräßler_2026, title={Corporate resilience through
generic AI-based workflows in strategic product planning}, DOI={10.17619/UNIPB/1-2636},
booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University}, publisher={Universitätsbibliothek}, author={Özcan, Deniz
and Gräßler, Iris}, editor={Graessler, Iris}, year={2026} }'
chicago: 'Özcan, Deniz, and Iris Gräßler. “Corporate Resilience through Generic
AI-Based Workflows in Strategic Product Planning.” In 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, edited
by Iris Graessler. Universitätsbibliothek, 2026. https://doi.org/10.17619/UNIPB/1-2636.'
ieee: 'D. Özcan and I. Gräßler, “Corporate resilience through generic AI-based workflows
in strategic product planning,” in 1st International Symposium: March 24 –
26, 2026, Heinz Nixdorf Institute, Paderborn University, Paderborn, 2026,
doi: 10.17619/UNIPB/1-2636.'
mla: 'Özcan, Deniz, and Iris Gräßler. “Corporate Resilience through Generic AI-Based
Workflows in Strategic Product Planning.” 1st International Symposium: March
24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, edited by Iris
Graessler, Universitätsbibliothek, 2026, doi:10.17619/UNIPB/1-2636.'
short: 'D. Özcan, I. Gräßler, in: I. Graessler (Ed.), 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, Universitätsbibliothek,
2026.'
conference:
end_date: 2026-03-26
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1. 2026 Paderborn
start_date: 2026-03-24
date_created: 2026-08-13T13:08:25Z
date_updated: 2026-08-13T13:12:01Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.17619/UNIPB/1-2636
editor:
- first_name: Iris
full_name: Graessler, Iris
last_name: Graessler
language:
- iso: eng
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: Corporate resilience through generic AI-based workflows in strategic product
planning
type: conference
user_id: '58595'
year: '2026'
...
---
_id: '66702'
abstract:
- lang: eng
text: Strategic product planning defines foresighted directions for product engineering
by determining which ideas, technologies and concepts are pursued further. Decisions
made in this phase strongly influence subsequent life cycle phases but are characterized
by high uncertainty, fragmented information, and predominantly qualitative assessment
practices. At the same time, increasing digitalization generates large, heterogeneous,
and dynamic data from markets, engineering, usage, and sustainability domains.
In this work, such information is understood as extreme data, as its heterogeneity,
variety, and dynamics exceed the capabilities of traditional planning approaches.
This paper investigates the potential of leveraging extreme data to strengthen
hybrid decision support in strategic product planning. A structured literature
review is conducted to identify key challenges. These challenges are analysed
along the generic product life cycle to capture decision points, information flows,
and information circularity. Relevant data sources are identified with respect
to their relevance for strategic decisions. Based on this analysis, seventeen
potentials for hybrid decision support are derived and clustered into five fields
of action. The results indicate that extreme data can enhance strategic foresight,
idea evaluation and portfolio decisions, lifecycle-spanning knowledge integration,
engineering support for strategic decisions, and the adoption of AI-based methods.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Julius Hendrik
full_name: Goldstein, Julius Hendrik
id: '63262'
last_name: Goldstein
citation:
ama: 'Gräßler I, Goldstein JH. Hybrid decision support in strategic product planning.
In: Gräßler I, ed. 1st International Symposium: March 24 – 26, 2026, Heinz
Nixdorf Institute, Paderborn University. Universitätsbibliothek; 2026. doi:10.17619/UNIPB/1-2644'
apa: 'Gräßler, I., & Goldstein, J. H. (2026). Hybrid decision support in strategic
product planning. In I. Gräßler (Ed.), 1st International Symposium: March 24
– 26, 2026, Heinz Nixdorf Institute, Paderborn University. Universitätsbibliothek.
https://doi.org/10.17619/UNIPB/1-2644'
bibtex: '@inproceedings{Gräßler_Goldstein_2026, title={Hybrid decision support in
strategic product planning}, DOI={10.17619/UNIPB/1-2644},
booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University}, publisher={Universitätsbibliothek}, author={Gräßler, Iris
and Goldstein, Julius Hendrik}, editor={Gräßler, Iris}, year={2026} }'
chicago: 'Gräßler, Iris, and Julius Hendrik Goldstein. “Hybrid Decision Support
in Strategic Product Planning.” In 1st International Symposium: March 24 –
26, 2026, Heinz Nixdorf Institute, Paderborn University, edited by Iris Gräßler.
Universitätsbibliothek, 2026. https://doi.org/10.17619/UNIPB/1-2644.'
ieee: 'I. Gräßler and J. H. Goldstein, “Hybrid decision support in strategic product
planning,” in 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf
Institute, Paderborn University, Paderborn, 2026, doi: 10.17619/UNIPB/1-2644.'
mla: 'Gräßler, Iris, and Julius Hendrik Goldstein. “Hybrid Decision Support in Strategic
Product Planning.” 1st International Symposium: March 24 – 26, 2026, Heinz
Nixdorf Institute, Paderborn University, edited by Iris Gräßler, Universitätsbibliothek,
2026, doi:10.17619/UNIPB/1-2644.'
short: 'I. Gräßler, J.H. Goldstein, in: I. Gräßler (Ed.), 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, Universitätsbibliothek,
2026.'
conference:
end_date: 2026-03-26
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1. 2026 Paderborn
start_date: 2026-03-24
date_created: 2026-08-13T07:29:06Z
date_updated: 2026-08-13T12:58:49Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2644
editor:
- first_name: Iris
full_name: Gräßler, Iris
last_name: Gräßler
language:
- iso: eng
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: Hybrid decision support in strategic product planning
type: conference
user_id: '63262'
year: '2026'
...
---
_id: '66837'
abstract:
- lang: eng
text: 'Manufacturers operate under dynamic regulatory conditions, leading to frequently
changing requirements that must be managed with high effort. AI-based requirements
extraction using Large Language Models (LLMs) has the potential to support engineers
in this task by analyzing large documents, for example. Existing evaluation approaches
in AI-supported requirements engineering mainly assess individual requirements
and their consistency with source documents, while quality criteria of requirements
sets are largely neglected. This paper presents a five-step approach to evaluate
the performance of current LLMs in generating requirements sets: a systematic
literature review to identify quality criteria of requirements sets (1), exemplary
generation of requirements sets from the Machinery Directive 2006/42/EC using
LLMs (2), examination (3), evaluation (4) and comparison (5) of the generated
requirements sets. The results support engineers in selecting LLMs for creating
requirement sets and in evaluating future LLMs.'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Jan Niklas
full_name: Pfeifer, Jan Niklas
id: '62841'
last_name: Pfeifer
citation:
ama: 'Gräßler I, Pfeifer JN. Performance evaluation of large language models in
extracting requirements sets from technical documents. In: Graessler I, ed. 1st
International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
University. Universitätsbibliothek; 2026. doi:10.17619/UNIPB/1-2646'
apa: 'Gräßler, I., & Pfeifer, J. N. (2026). Performance evaluation of large
language models in extracting requirements sets from technical documents. In I.
Graessler (Ed.), 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf
Institute, Paderborn University. Universitätsbibliothek. https://doi.org/10.17619/UNIPB/1-2646'
bibtex: '@inproceedings{Gräßler_Pfeifer_2026, title={Performance evaluation of large
language models in extracting requirements sets from technical documents}, DOI={10.17619/UNIPB/1-2646}, booktitle={1st
International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
University}, publisher={Universitätsbibliothek}, author={Gräßler, Iris and Pfeifer,
Jan Niklas}, editor={Graessler, Iris}, year={2026} }'
chicago: 'Gräßler, Iris, and Jan Niklas Pfeifer. “Performance Evaluation of Large
Language Models in Extracting Requirements Sets from Technical Documents.” In
1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University, edited by Iris Graessler. Universitätsbibliothek, 2026.
https://doi.org/10.17619/UNIPB/1-2646.'
ieee: 'I. Gräßler and J. N. Pfeifer, “Performance evaluation of large language models
in extracting requirements sets from technical documents,” in 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University,
Paderborn, 2026, doi: 10.17619/UNIPB/1-2646.'
mla: 'Gräßler, Iris, and Jan Niklas Pfeifer. “Performance Evaluation of Large Language
Models in Extracting Requirements Sets from Technical Documents.” 1st International
Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University,
edited by Iris Graessler, Universitätsbibliothek, 2026, doi:10.17619/UNIPB/1-2646.'
short: 'I. Gräßler, J.N. Pfeifer, in: I. Graessler (Ed.), 1st International Symposium:
March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, Universitätsbibliothek,
2026.'
conference:
end_date: 26.03.2026
location: Paderborn
name: International Symposium on Hybrid Intelligence in Product and Production Engineering
1. 2026 Paderborn
start_date: 24.03.2026
date_created: 2026-08-24T14:31:30Z
date_updated: 2026-08-24T14:41:41Z
doi: 10.17619/UNIPB/1-2646
editor:
- first_name: Iris
full_name: Graessler, Iris
last_name: Graessler
has_accepted_license: '1'
keyword:
- Requirements Engineering
- Artificial Intelligence
- Large Language Models
- Generative AI
language:
- iso: eng
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
Paderborn University'
publisher: Universitätsbibliothek
quality_controlled: '1'
status: public
title: Performance evaluation of large language models in extracting requirements
sets from technical documents
type: conference
user_id: '62841'
year: '2026'
...
---
_id: '59478'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
citation:
ama: Gräßler I, Rarbach S, Pottebaum J. Data Quality in the Engineering of Circular
Products - Decision support for circular value creation through data ecosystems.
Industry 40 Science. 2025;2025(2). doi:10.30844/i4se.25.2.12
apa: Gräßler, I., Rarbach, S., & Pottebaum, J. (2025). Data Quality in the Engineering
of Circular Products - Decision support for circular value creation through data
ecosystems. Industry 4.0 Science, 2025(2). https://doi.org/10.30844/i4se.25.2.12
bibtex: '@article{Gräßler_Rarbach_Pottebaum_2025, title={Data Quality in the Engineering
of Circular Products - Decision support for circular value creation through data
ecosystems}, volume={2025}, DOI={10.30844/i4se.25.2.12},
number={2}, journal={Industry 4.0 Science}, publisher={GITO mbH Verlag}, author={Gräßler,
Iris and Rarbach, Sven and Pottebaum, Jens}, year={2025} }'
chicago: Gräßler, Iris, Sven Rarbach, and Jens Pottebaum. “Data Quality in the Engineering
of Circular Products - Decision Support for Circular Value Creation through Data
Ecosystems.” Industry 4.0 Science 2025, no. 2 (2025). https://doi.org/10.30844/i4se.25.2.12.
ieee: 'I. Gräßler, S. Rarbach, and J. Pottebaum, “Data Quality in the Engineering
of Circular Products - Decision support for circular value creation through data
ecosystems,” Industry 4.0 Science, vol. 2025, no. 2, 2025, doi: 10.30844/i4se.25.2.12.'
mla: Gräßler, Iris, et al. “Data Quality in the Engineering of Circular Products
- Decision Support for Circular Value Creation through Data Ecosystems.” Industry
4.0 Science, vol. 2025, no. 2, GITO mbH Verlag, 2025, doi:10.30844/i4se.25.2.12.
short: I. Gräßler, S. Rarbach, J. Pottebaum, Industry 4.0 Science 2025 (2025).
date_created: 2025-04-10T08:03:11Z
date_updated: 2025-04-10T08:04:33Z
department:
- _id: '152'
doi: 10.30844/i4se.25.2.12
intvolume: ' 2025'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.30844/I4SE.25.2.12
oa: '1'
publication: Industry 4.0 Science
publication_identifier:
issn:
- 2942-6170
publication_status: published
publisher: GITO mbH Verlag
quality_controlled: '1'
status: public
title: Data Quality in the Engineering of Circular Products - Decision support for
circular value creation through data ecosystems
type: journal_article
user_id: '67999'
volume: 2025
year: '2025'
...
---
_id: '61043'
abstract:
- lang: eng
text: Dynamic market conditions, technological disruption and social change
require organizations to continuously adapt and evolve. However, studies on organizational
change show that the majority of transformations undertaken fail because they
are characterized by a lack of clarity, overload and ineffective measures. This
paper shows how a clear structure as a critical success factor can make the chaos
and challenges of a transformation manageable. The focus here is on a practice-oriented
framework that divides a transformation into nine essential building blocks with
activities that are critical to success. The structure of the framework is understood
as a flexible organizing principle for a transformation without hindering creativity
and dynamics. Case studies show the adaptability and applicability of the framework
to different characteristics and dimensions of transformation. The transformation
framework provides an operative structure and enables transformation managers
for transparent orchestration and implementation of transformation.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Benedikt
full_name: Grewe, Benedikt
id: '52359'
last_name: Grewe
- first_name: Marc
full_name: Fritzen, Marc
last_name: Fritzen
citation:
ama: 'Gräßler I, Grewe B, Fritzen M. The importance of structure in transformation
chaos: A Transformation Framework. In: AHFE International. Vol 198. AHFE
International; 2025. doi:10.54941/ahfe1006790'
apa: 'Gräßler, I., Grewe, B., & Fritzen, M. (2025). The importance of structure
in transformation chaos: A Transformation Framework. AHFE International,
198. https://doi.org/10.54941/ahfe1006790'
bibtex: '@inproceedings{Gräßler_Grewe_Fritzen_2025, title={The importance of structure
in transformation chaos: A Transformation Framework}, volume={198}, DOI={10.54941/ahfe1006790},
booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler,
Iris and Grewe, Benedikt and Fritzen, Marc}, year={2025} }'
chicago: 'Gräßler, Iris, Benedikt Grewe, and Marc Fritzen. “The Importance of Structure
in Transformation Chaos: A Transformation Framework.” In AHFE International,
Vol. 198. AHFE International, 2025. https://doi.org/10.54941/ahfe1006790.'
ieee: 'I. Gräßler, B. Grewe, and M. Fritzen, “The importance of structure in transformation
chaos: A Transformation Framework,” in AHFE International, Pula, Croatia,
2025, vol. 198, doi: 10.54941/ahfe1006790.'
mla: 'Gräßler, Iris, et al. “The Importance of Structure in Transformation Chaos:
A Transformation Framework.” AHFE International, vol. 198, AHFE International,
2025, doi:10.54941/ahfe1006790.'
short: 'I. Gräßler, B. Grewe, M. Fritzen, in: AHFE International, AHFE International,
2025.'
conference:
end_date: 2025-09-24
location: Pula, Croatia
name: '7th International Conference on Human Systems Engineering and Design: Future
Trends and Applications'
start_date: 2025-09-22
date_created: 2025-08-28T08:06:41Z
date_updated: 2025-11-11T06:10:27Z
department:
- _id: '152'
doi: 10.54941/ahfe1006790
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: 'The importance of structure in transformation chaos: A Transformation Framework'
type: conference
user_id: '52359'
volume: 198
year: '2025'
...
---
_id: '60940'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
- first_name: Benedikt
full_name: Grewe, Benedikt
id: '52359'
last_name: Grewe
citation:
ama: Gräßler I, Rarbach S, Grewe B. Strategic Product Planning Model – Digital twins
for circular products and production processes. Industry 40 Science. 2025;2025(3).
doi:10.30844/i4se.25.3.24
apa: Gräßler, I., Rarbach, S., & Grewe, B. (2025). Strategic Product Planning
Model – Digital twins for circular products and production processes. Industry
4.0 Science, 2025(3). https://doi.org/10.30844/i4se.25.3.24
bibtex: '@article{Gräßler_Rarbach_Grewe_2025, title={Strategic Product Planning
Model – Digital twins for circular products and production processes}, volume={2025},
DOI={10.30844/i4se.25.3.24},
number={3}, journal={Industry 4.0 Science}, publisher={GITO mbH Verlag}, author={Gräßler,
Iris and Rarbach, Sven and Grewe, Benedikt}, year={2025} }'
chicago: Gräßler, Iris, Sven Rarbach, and Benedikt Grewe. “Strategic Product Planning
Model – Digital Twins for Circular Products and Production Processes.” Industry
4.0 Science 2025, no. 3 (2025). https://doi.org/10.30844/i4se.25.3.24.
ieee: 'I. Gräßler, S. Rarbach, and B. Grewe, “Strategic Product Planning Model –
Digital twins for circular products and production processes,” Industry 4.0
Science, vol. 2025, no. 3, 2025, doi: 10.30844/i4se.25.3.24.'
mla: Gräßler, Iris, et al. “Strategic Product Planning Model – Digital Twins for
Circular Products and Production Processes.” Industry 4.0 Science, vol.
2025, no. 3, GITO mbH Verlag, 2025, doi:10.30844/i4se.25.3.24.
short: I. Gräßler, S. Rarbach, B. Grewe, Industry 4.0 Science 2025 (2025).
date_created: 2025-08-18T10:01:42Z
date_updated: 2025-11-11T06:10:38Z
department:
- _id: '152'
doi: 10.30844/i4se.25.3.24
intvolume: ' 2025'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.30844/I4SD.25.3.24
oa: '1'
publication: Industry 4.0 Science
publication_identifier:
issn:
- 2942-6170
publication_status: published
publisher: GITO mbH Verlag
quality_controlled: '1'
status: public
title: Strategic Product Planning Model – Digital twins for circular products and
production processes
type: journal_article
user_id: '52359'
volume: 2025
year: '2025'
...
---
_id: '61099'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Sven
full_name: Rarbach, Sven
id: '67999'
last_name: Rarbach
citation:
ama: 'Gräßler I, Rarbach S. Model-based Impact Analysis for Engineering Sustainable
Products in Value Creation Networks. In: Procedia CIRP. Vol 136. Elsevier
BV; 2025:207-212. doi:10.1016/j.procir.2025.08.037'
apa: Gräßler, I., & Rarbach, S. (2025). Model-based Impact Analysis for Engineering
Sustainable Products in Value Creation Networks. Procedia CIRP, 136,
207–212. https://doi.org/10.1016/j.procir.2025.08.037
bibtex: '@inproceedings{Gräßler_Rarbach_2025, title={Model-based Impact Analysis
for Engineering Sustainable Products in Value Creation Networks}, volume={136},
DOI={10.1016/j.procir.2025.08.037},
booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Gräßler, Iris and
Rarbach, Sven}, year={2025}, pages={207–212} }'
chicago: Gräßler, Iris, and Sven Rarbach. “Model-Based Impact Analysis for Engineering
Sustainable Products in Value Creation Networks.” In Procedia CIRP, 136:207–12.
Elsevier BV, 2025. https://doi.org/10.1016/j.procir.2025.08.037.
ieee: 'I. Gräßler and S. Rarbach, “Model-based Impact Analysis for Engineering Sustainable
Products in Value Creation Networks,” in Procedia CIRP, 2025, vol. 136,
pp. 207–212, doi: 10.1016/j.procir.2025.08.037.'
mla: Gräßler, Iris, and Sven Rarbach. “Model-Based Impact Analysis for Engineering
Sustainable Products in Value Creation Networks.” Procedia CIRP, vol. 136,
Elsevier BV, 2025, pp. 207–12, doi:10.1016/j.procir.2025.08.037.
short: 'I. Gräßler, S. Rarbach, in: Procedia CIRP, Elsevier BV, 2025, pp. 207–212.'
date_created: 2025-08-30T11:00:38Z
date_updated: 2025-11-10T21:11:40Z
department:
- _id: '152'
doi: 10.1016/j.procir.2025.08.037
intvolume: ' 136'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2212827125007899/pdf?md5=15ac135909de72bcc8824b2c3aaf4a9c&pid=1-s2.0-S2212827125007899-main.pdf
oa: '1'
page: 207-212
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Model-based Impact Analysis for Engineering Sustainable Products in Value Creation
Networks
type: conference
user_id: '67999'
volume: 136
year: '2025'
...
---
_id: '62153'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Benedikt
full_name: Grewe, Benedikt
id: '52359'
last_name: Grewe
citation:
ama: 'Gräßler I, Grewe B. Structuring Systems Engineering Transformation: A three-step
cycle of Transformation. In: Procedia CIRP. Vol 136. Procedia CIRP. Elsevier
BV; 2025:936-942. doi:10.1016/j.procir.2025.08.159'
apa: 'Gräßler, I., & Grewe, B. (2025). Structuring Systems Engineering Transformation:
A three-step cycle of Transformation. Procedia CIRP, 136, 936–942.
https://doi.org/10.1016/j.procir.2025.08.159'
bibtex: '@inproceedings{Gräßler_Grewe_2025, series={Procedia CIRP}, title={Structuring
Systems Engineering Transformation: A three-step cycle of Transformation}, volume={136},
DOI={10.1016/j.procir.2025.08.159},
booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Gräßler, Iris and
Grewe, Benedikt}, year={2025}, pages={936–942}, collection={Procedia CIRP} }'
chicago: 'Gräßler, Iris, and Benedikt Grewe. “Structuring Systems Engineering Transformation:
A Three-Step Cycle of Transformation.” In Procedia CIRP, 136:936–42. Procedia
CIRP. Elsevier BV, 2025. https://doi.org/10.1016/j.procir.2025.08.159.'
ieee: 'I. Gräßler and B. Grewe, “Structuring Systems Engineering Transformation:
A three-step cycle of Transformation,” in Procedia CIRP, 2025, vol. 136,
pp. 936–942, doi: 10.1016/j.procir.2025.08.159.'
mla: 'Gräßler, Iris, and Benedikt Grewe. “Structuring Systems Engineering Transformation:
A Three-Step Cycle of Transformation.” Procedia CIRP, vol. 136, Elsevier
BV, 2025, pp. 936–42, doi:10.1016/j.procir.2025.08.159.'
short: 'I. Gräßler, B. Grewe, in: Procedia CIRP, Elsevier BV, 2025, pp. 936–942.'
date_created: 2025-11-10T11:59:14Z
date_updated: 2025-11-11T06:09:45Z
department:
- _id: '152'
doi: 10.1016/j.procir.2025.08.159
intvolume: ' 136'
language:
- iso: eng
page: 936-942
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
series_title: Procedia CIRP
status: public
title: 'Structuring Systems Engineering Transformation: A three-step cycle of Transformation'
type: conference
user_id: '52359'
volume: 136
year: '2025'
...