---
_id: '12719'
abstract:
- lang: eng
text: A human digital twin (HDT) is a virtual representation of a worker in cyberspace.
Nevertheless, current research focusses mainly on HDTs for motoric work types,
such as assembly. To fully integrate an HDT for workers in production, it is necessary
that an HDT also displays cognitive processes like memorizing, thinking or reasoning.
Such a concept can be used in information-based work, for example monitoring highly
automated production systems, and contribute to the planning and control of production.
Due to the high proportion of planning and decision-making processes, the efficiency
of information-based work is determined in particular by the inner processes of
the worker. An HDT can therefore help to describe current and future states of
socio-technical work systems. Therefore, this paper presents a systematic literature
review to explicitly derive the relevant components of an HDT for information-based
work types. The elements of such an HDT and its environment are defined. Further,
the current gaps in literature are identified. There are currently no real-world
applications of such an HDT. Additionally, the value of multi-HDT systems must
be evaluated more extensively.
author:
- first_name: Viktoria
full_name: Mordaschew, Viktoria
id: '79005'
last_name: Mordaschew
- first_name: Benedikt
full_name: Latos, Benedikt
id: '84474'
last_name: Latos
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
citation:
ama: Mordaschew V, Latos B, Tackenberg S. A Human Digital Twin for Worker-Centric
Production. Procedia Computer Science. 2025;253:2137-2146. doi:https://doi.org/10.1016/j.procs.2025.01.274
apa: Mordaschew, V., Latos, B., & Tackenberg, S. (2025). A Human Digital Twin
for Worker-Centric Production. Procedia Computer Science, 253, 2137–2146.
https://doi.org/10.1016/j.procs.2025.01.274
bjps: Mordaschew V, Latos B and Tackenberg S (2025) A Human Digital Twin
for Worker-Centric Production. Procedia Computer Science 253, 2137–2146.
chicago: 'Mordaschew, Viktoria, Benedikt Latos, and Sven Tackenberg. “A Human Digital
Twin for Worker-Centric Production.” Procedia Computer Science 253 (2025):
2137–46. https://doi.org/10.1016/j.procs.2025.01.274.'
chicago-de: 'Mordaschew, Viktoria, Benedikt Latos und Sven Tackenberg. 2025. A Human
Digital Twin for Worker-Centric Production. Procedia Computer Science 253:
2137–2146. doi:https://doi.org/10.1016/j.procs.2025.01.274,
.'
din1505-2-1: 'Mordaschew, Viktoria
; Latos, Benedikt ; Tackenberg,
Sven: A Human Digital Twin for Worker-Centric Production. In: Procedia
Computer Science Bd. 253. Amsterdam [u.a.] , Elsevier (2025), S. 2137–2146'
havard: V. Mordaschew, B. Latos, S. Tackenberg, A Human Digital Twin for Worker-Centric
Production, Procedia Computer Science. 253 (2025) 2137–2146.
ieee: 'V. Mordaschew, B. Latos, and S. Tackenberg, “A Human Digital Twin for Worker-Centric
Production,” Procedia Computer Science, vol. 253, pp. 2137–2146, 2025,
doi: https://doi.org/10.1016/j.procs.2025.01.274.'
mla: Mordaschew, Viktoria, et al. “A Human Digital Twin for Worker-Centric Production.”
Procedia Computer Science, vol. 253, 2025, pp. 2137–46, https://doi.org/10.1016/j.procs.2025.01.274.
short: V. Mordaschew, B. Latos, S. Tackenberg, Procedia Computer Science 253 (2025)
2137–2146.
ufg: 'Mordaschew, Viktoria/Latos, Benedikt/Tackenberg, Sven: A Human Digital
Twin for Worker-Centric Production, in: Procedia Computer Science 253 (2025),
S. 2137–2146.'
van: Mordaschew V, Latos B, Tackenberg S. A Human Digital Twin for Worker-Centric
Production. Procedia Computer Science. 2025;253:2137–46.
date_created: 2025-03-19T15:42:16Z
date_updated: 2025-03-20T15:25:28Z
department:
- _id: DEP1500
doi: https://doi.org/10.1016/j.procs.2025.01.274
intvolume: ' 253'
keyword:
- Human-centric Production
- Digital Twin
- Systematic Literature Review
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050925X0003X/1-s2.0-S1877050925002820/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECAaCXVzLWVhc3QtMSJHMEUCIQCf5kQu9Qr%2FPaWZOMmUyMsrFj8U0OTeGci9WwFRKvOC4gIgBa8ilRkd264I5%2FfOe%2FJMwvNc3cQ1jDt8wJcUIdPTdfEqswUIeBAFGgwwNTkwMDM1NDY4NjUiDKfD4vTsP8l575BscSqQBdaN09lRB973%2Bhd4ufVIhFw27Ohx%2FUPVSwOUefsN5C28R6CqOhF8DiP%2F2uLmz%2FP0AnXXRIOIU9Xo6jGS01m5JEQUa3nNGi8YJ8wTH4vqk0pOjczyIo6CZJWe2zwVPJVIvlfTEV1aBcggnpVmcBINCHhCQ20GVehLrEEaONMkGjoauiuvp%2B5GQRNaa0F%2FJuhCfsJO7KbRcA1OblcOezoMYk83RzISbfAI5FvDKWxZQhWCprKR35b%2F6s7lfY8fb34Ps%2BNsCYmKhTJlDLDQiFVQPPWUwJg9PJaW9CJxjvWWNXlOOpv0tC6JFHyGnTu6VyOsPqs8G%2BD0nTOJtE9C2AwrradO7sVKQu%2B3SubbOofB6RIbb7eP%2FJeCAN3UQ4wBJKDa2QzoZiqrGb1LUVPmuJgEDZmZNgdIiat3mvC3QsCowARjBq%2BX12qexIsGbLoKKwLj0XZyD1geFAULOxEO1prmNT8zdhXcCloLKivRqNRpHc9vXR8mnUPRY4SDQIiFjkwbGfiN7XIfU%2BUL31K5F4L%2FidNQcNNwxiW2JiZLKnd0Cd3YUYFLODxKrXvI3SboFa1aKhiwX4uba2qjCbu0VpSKGIn%2BdkaGfOWxGgEg2L6s6MWXs0%2BnIUYoYswyjYxyksWZTk2xk09FT%2FzZzcbV%2By3LDfI68M6Yl%2BI47d77Gw2Dl3i2QtpSSgE7KidmuP3V5QTNLcwQ6znfvdJ1GCEtg86RCRbhdIjqopU8zl6%2BH%2By%2B9Zsh8exwsS6wehDEsKBgtOsmXMRr3PIMVsVBZBvOsraGPdmR9%2BFF37YCd66MEc2RLxoWr0y2N7vz00YOlcSvpDR4MLZVSb9sFSBLDTcbdljUEJjFWI5lx4fXoYY6D43k1qzBMKG8674GOrEBPhb%2BOxSm119COf1hZVU9Ddv020oO9bIFU0RN%2BgW0Jn5aIEYvqvKyOjBIlgPe%2BsOxmje4KstmmeZdXNT1UYhFmal1oQ%2Fc6dU2N5e6BPyHNN1HFQEDPCg4VmTPqvA6AerHmcIv62dF2mbJmBlB%2FrchNqLbPCrVy61C9FIKZmBRAdEDMKOjdi0IwDgJ4Mci%2FTu%2FYKZthYyoTcZCmkmyk8hVJGTMyZsj0pGsTS79eyd00t6K&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20250319T153721Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY5KE6SOXB%2F20250319%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=8a9c4609a533337efabc8cf0808d3c276fbf5283eef7c3deb5ab723e49e72788&hash=1c87cbc6d5873de51b1b1ba6cab66fb8a783c2b9af8ef198f4c9b2504f659005&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1877050925002820&tid=spdf-72598068-bcf7-4dec-b3a9-3bde6d19d9f5&sid=c9f5630d128d5441213b35f764412ad9bb5bgxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1e0359535c0b5400015202&rr=922e0cf0ff4e7a5a&cc=de
oa: '1'
page: 2137-2146
place: 'Amsterdam [u.a.] '
publication: Procedia Computer Science
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
link:
- relation: other
url: 10.1016/j.procs.2025.01.274
status: public
title: A Human Digital Twin for Worker-Centric Production
type: scientific_journal_article
user_id: '83781'
volume: 253
year: '2025'
...
---
_id: '12697'
abstract:
- lang: eng
text: The automotive industry is extremely important in Germany and its OEMs and
suppliers are still globally competitive. However, the shift from combustion engines
to e-mobility drive trains is restructuring the industry. Accordingly, this paper
analyzes the determinants affecting the emergence of e-mobility drive technologies
in the automotive sector. In doing so, we emphasize the role of digital technologies
in the sector’s environmental transformation, drawing from the “twin-transition”
framework, where digital and green shifts mutually influence one another. Methodically,
we use an event-history approach to empirically explore the early appearance of
R&D activities in the form of patent-based or funded-project-based collaboration
events at the regional level over the period 1990 to 2018. Our results indicate
positive and significant relatedness between various digitalization variables
and the early emergence of e-mobility activities in regions. At the same time,
the geographical context appears to be only of marginal importance.
alternative_title:
- Exploring the Initial Appearance of Patent-Based and Funded-Project-Based Collaboration
Events
article_type: original
author:
- first_name: Patrick
full_name: Wolf, Patrick
last_name: Wolf
- first_name: Muhamed
full_name: Kudic, Muhamed
id: '87331'
last_name: Kudic
- first_name: Tobias
full_name: Buchmann, Tobias
last_name: Buchmann
citation:
ama: Wolf P, Kudic M, Buchmann T. Digitalization and the Emergence of E-Mobility
Technology in German Regions. Journal of Innovation Economics & Management.
2024;45(3):95-122. doi:10.3917/jie.pr1.0170
apa: Wolf, P., Kudic, M., & Buchmann, T. (2024). Digitalization and the Emergence
of E-Mobility Technology in German Regions. Journal of Innovation Economics
& Management, 45(3), 95–122. https://doi.org/10.3917/jie.pr1.0170
bjps: Wolf P, Kudic M and Buchmann T (2024) Digitalization and the Emergence
of E-Mobility Technology in German Regions. Journal of Innovation Economics
& Management 45, 95–122.
chicago: 'Wolf, Patrick, Muhamed Kudic, and Tobias Buchmann. “Digitalization and
the Emergence of E-Mobility Technology in German Regions.” Journal of Innovation
Economics & Management 45, no. 3 (2024): 95–122. https://doi.org/10.3917/jie.pr1.0170.'
chicago-de: 'Wolf, Patrick, Muhamed Kudic und Tobias Buchmann. 2024. Digitalization
and the Emergence of E-Mobility Technology in German Regions. Journal of Innovation
Economics & Management 45, Nr. 3: 95–122. doi:10.3917/jie.pr1.0170,
.'
din1505-2-1: 'Wolf, Patrick ; Kudic, Muhamed ; Buchmann,
Tobias: Digitalization and the Emergence of E-Mobility Technology in German
Regions. In: Journal of Innovation Economics & Management Bd. 45. Paris
[u.a.], De Boeck Université (2024), Nr. 3, S. 95–122'
havard: P. Wolf, M. Kudic, T. Buchmann, Digitalization and the Emergence of E-Mobility
Technology in German Regions, Journal of Innovation Economics & Management.
45 (2024) 95–122.
ieee: 'P. Wolf, M. Kudic, and T. Buchmann, “Digitalization and the Emergence of
E-Mobility Technology in German Regions,” Journal of Innovation Economics &
Management, vol. 45, no. 3, pp. 95–122, 2024, doi: 10.3917/jie.pr1.0170.'
mla: Wolf, Patrick, et al. “Digitalization and the Emergence of E-Mobility Technology
in German Regions.” Journal of Innovation Economics & Management, vol.
45, no. 3, 2024, pp. 95–122, https://doi.org/10.3917/jie.pr1.0170.
short: P. Wolf, M. Kudic, T. Buchmann, Journal of Innovation Economics & Management
45 (2024) 95–122.
ufg: 'Wolf, Patrick/Kudic, Muhamed/Buchmann, Tobias: Digitalization and the
Emergence of E-Mobility Technology in German Regions, in: Journal of Innovation
Economics & Management 45 (2024), H. 3, S. 95–122.'
van: Wolf P, Kudic M, Buchmann T. Digitalization and the Emergence of E-Mobility
Technology in German Regions. Journal of Innovation Economics & Management.
2024;45(3):95–122.
date_created: 2025-03-12T07:58:41Z
date_updated: 2025-03-14T07:53:45Z
department:
- _id: DEP5032
- _id: DEP5000
doi: 10.3917/jie.pr1.0170
intvolume: ' 45'
issue: '3'
jel:
- O33
keyword:
- Twin-Transition
- Sustainable Transition
- E-Mobility Regional Transition
- Event History Analysis
- R&D Collaboration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://shs.cairn.info/journal-of-innovation-economics-2024-3-page-95?lang=en
oa: '1'
page: 95-122
place: Paris [u.a.]
publication: Journal of Innovation Economics & Management
publication_identifier:
issn:
- 2032-5355
publication_status: published
publisher: 'De Boeck Université '
quality_controlled: '1'
status: public
title: Digitalization and the Emergence of E-Mobility Technology in German Regions
type: scientific_journal_article
user_id: '83781'
volume: 45
year: '2024'
...
---
_id: '12795'
abstract:
- lang: eng
text: Including disabled workers in value-creating work processes is a fundamental
and guaranteed human right and is, therefore, an essential goal of society. In
Germany, sheltered workshops create the conditions for this inclusion since they
are essential to companies' value chains. A central challenge is the inclusion
of disabled workers in the value-creation processes, such as in manufacturing
or assembly areas. The skills of disabled workers vary since they have individual
impairments. Therefore, this paper presents a digital human model, a Human Digital
Twin (HDT), for disabled workers. The model maps their skills and supports the
production planning and assembly processes. (C) 2024 The Authors. Published by
Elsevier B.V.
author:
- first_name: Viktoria
full_name: Mordaschew, Viktoria
id: '79005'
last_name: Mordaschew
- first_name: Sönke
full_name: Duckwitz, Sönke
id: '81325'
last_name: Duckwitz
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
citation:
ama: Mordaschew V, Duckwitz S, Tackenberg S. A Human Digital Twin of Disabled
Workers for Production Planning. Vol 232. (Longo F, Shen W, Padovano A, eds.).
Elsevier BV; 2024:745-751. doi:10.1016/j.procs.2024.01.074
apa: Mordaschew, V., Duckwitz, S., & Tackenberg, S. (2024). A Human Digital
Twin of Disabled Workers for Production Planning. In F. Longo, W. Shen, &
A. Padovano (Eds.), 5th International Conference on Industry 4.0 and Smart
Manufacturing (ISM) (Vol. 232, pp. 745–751). Elsevier BV. https://doi.org/10.1016/j.procs.2024.01.074
bjps: 'Mordaschew V, Duckwitz S and Tackenberg S (2024) A Human Digital
Twin of Disabled Workers for Production Planning, Longo F, Shen W and Padovano
A (eds). Amsterdam [u.a.]: Elsevier BV.'
chicago: 'Mordaschew, Viktoria, Sönke Duckwitz, and Sven Tackenberg. A Human
Digital Twin of Disabled Workers for Production Planning. Edited by F. Longo,
W. Shen, and A. Padovano. 5th International Conference on Industry 4.0 and
Smart Manufacturing (ISM). Vol. 232. Procedia Computer Science. Amsterdam
[u.a.]: Elsevier BV, 2024. https://doi.org/10.1016/j.procs.2024.01.074.'
chicago-de: 'Mordaschew, Viktoria, Sönke Duckwitz und Sven Tackenberg. 2024. A
Human Digital Twin of Disabled Workers for Production Planning. Hg. von F.
Longo, W. Shen, und A. Padovano. 5th International Conference on Industry 4.0
and Smart Manufacturing (ISM). Bd. 232. Procedia Computer Science. Amsterdam
[u.a.]: Elsevier BV. doi:10.1016/j.procs.2024.01.074,
.'
din1505-2-1: 'Mordaschew, Viktoria
; Duckwitz, Sönke ; Tackenberg,
Sven ; Longo, F. ; Shen, W. ; Padovano,
A. (Hrsg.): A Human Digital Twin of Disabled Workers for Production
Planning, Procedia Computer Science. Bd. 232. Amsterdam [u.a.] : Elsevier
BV, 2024'
havard: V. Mordaschew, S. Duckwitz, S. Tackenberg, A Human Digital Twin of Disabled
Workers for Production Planning, Elsevier BV, Amsterdam [u.a.], 2024.
ieee: 'V. Mordaschew, S. Duckwitz, and S. Tackenberg, A Human Digital Twin of
Disabled Workers for Production Planning, vol. 232. Amsterdam [u.a.]: Elsevier
BV, 2024, pp. 745–751. doi: 10.1016/j.procs.2024.01.074.'
mla: Mordaschew, Viktoria, et al. “A Human Digital Twin of Disabled Workers for
Production Planning.” 5th International Conference on Industry 4.0 and Smart
Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier BV, 2024,
pp. 745–51, https://doi.org/10.1016/j.procs.2024.01.074.
short: V. Mordaschew, S. Duckwitz, S. Tackenberg, A Human Digital Twin of Disabled
Workers for Production Planning, Elsevier BV, Amsterdam [u.a.], 2024.
ufg: 'Mordaschew, Viktoria/Duckwitz, Sönke/Tackenberg, Sven: A Human Digital
Twin of Disabled Workers for Production Planning, Bd. 232, hg. von Longo, F./Shen,
W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer Science).'
van: 'Mordaschew V, Duckwitz S, Tackenberg S. A Human Digital Twin of Disabled Workers
for Production Planning. Longo F, Shen W, Padovano A, editors. 5th International
Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam [u.a.]: Elsevier
BV; 2024. (Procedia Computer Science; vol. 232).'
conference:
end_date: 2023-11-24
location: Lisbon, PORTUGAL
name: 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)
start_date: 2023-11-22
date_created: 2025-04-15T12:07:15Z
date_updated: 2025-06-25T12:44:44Z
department:
- _id: DEP7020
doi: 10.1016/j.procs.2024.01.074
editor:
- first_name: F.
full_name: Longo, F.
last_name: Longo
- first_name: W.
full_name: Shen, W.
last_name: Shen
- first_name: A.
full_name: Padovano, A.
last_name: Padovano
intvolume: ' 232'
keyword:
- Human Digital Twin
- Industry 4.0
- Sheltered Workshops
- Production Planning
language:
- iso: eng
page: 745-751
place: Amsterdam [u.a.]
publication: 5th International Conference on Industry 4.0 and Smart Manufacturing
(ISM)
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
series_title: Procedia Computer Science
status: public
title: A Human Digital Twin of Disabled Workers for Production Planning
type: conference_editor_article
user_id: '83781'
volume: 232
year: '2024'
...
---
_id: '12832'
abstract:
- lang: eng
text: Formulating energy policies at national, European, and global levels is extremely
challenging. The move away from fossil fuels is associated with a variety of technological,
economic, and social implications, each of which is subject to dynamic changes
and societal scrutiny and can hardly be predicted with certainty. Therefore, a
fact-based assessment for the path to a sustainable green energy future is sought
out in this paper, using the road-based mobility sector of the Federal Republic
of Germany as an example. The analysis performed in this paper is built on publicly
accessible, reputable sources like DESTATIS and EUROSTAT. In addition, some very
simple calculations were made, e.g., on the potential for wind and photovoltaic
energy within Germany. Such an analysis needs to start with the overall energy
consumption of any one country. A basic assumption of the paper is that the energy
system of the future will be based to a large extent on electricity and its storage
in chemical energy. It is assumed that, in addition to hydrogen, liquid energy
sources will play a significant role due to the simplicity of their logistics
and the subsequent implications on cost. Examples of green, electricity-based
fuels with great potential are methanol, methane, and ammonia. Additionally, biomass
plays an important role, either for direct use as a fuel or as a source of non-fossil
carbon. Today, biofuels, i.e., biodiesel and bioethanol, deliver the largest contribution
to climate protection in the EU transport sector. The main goal—the reduction
of greenhouse gas emissions—often collides with geopolitical circumstances or
national political necessities. This includes, for example, the current world
market situation and its national impacts caused by the Russian attack on Ukraine.
The prospect for a green, sustainable, and defossilized energy supply are discussed
in this context. The paper concludes that a defossilized world energy supply and
trade based on renewable electricity and its derivatives, eHydrogen and refuels,
and on biomass, is feasible.
article_number: '4569'
author:
- first_name: Frank
full_name: Atzler, Frank
last_name: Atzler
- first_name: Julian
full_name: Türck, Julian
last_name: Türck
- first_name: Ralf
full_name: Türck, Ralf
last_name: Türck
- first_name: Jürgen
full_name: Krahl, Jürgen
id: '68870'
last_name: Krahl
citation:
ama: 'Atzler F, Türck J, Türck R, Krahl J. The Energy Situation in the Federal Republic
of Germany: Analysis of the Current Situation and Perspectives for a Non-Fossil
Energy Supply. Energies : open-access journal of related scientific research,
technology development and studies in policy and management . 2023;16(12).
doi:10.3390/en16124569'
apa: 'Atzler, F., Türck, J., Türck, R., & Krahl, J. (2023). The Energy Situation
in the Federal Republic of Germany: Analysis of the Current Situation and Perspectives
for a Non-Fossil Energy Supply. Energies : Open-Access Journal of Related
Scientific Research, Technology Development and Studies in Policy and Management
, 16(12), Article 4569. https://doi.org/10.3390/en16124569'
bjps: 'Atzler F et al. (2023) The Energy Situation in the Federal
Republic of Germany: Analysis of the Current Situation and Perspectives for a
Non-Fossil Energy Supply. Energies : open-access journal of related scientific
research, technology development and studies in policy and management 16.'
chicago: 'Atzler, Frank, Julian Türck, Ralf Türck, and Jürgen Krahl. “The Energy
Situation in the Federal Republic of Germany: Analysis of the Current Situation
and Perspectives for a Non-Fossil Energy Supply.” Energies : Open-Access
Journal of Related Scientific Research, Technology Development and Studies in
Policy and Management 16, no. 12 (2023). https://doi.org/10.3390/en16124569.'
chicago-de: 'Atzler, Frank, Julian Türck, Ralf Türck und Jürgen Krahl. 2023. The
Energy Situation in the Federal Republic of Germany: Analysis of the Current Situation
and Perspectives for a Non-Fossil Energy Supply. Energies : open-access journal
of related scientific research, technology development and studies in policy and
management 16, Nr. 12. doi:10.3390/en16124569,
.'
din1505-2-1: 'Atzler, Frank ; Türck, Julian ; Türck,
Ralf ; Krahl, Jürgen: The
Energy Situation in the Federal Republic of Germany: Analysis of the Current Situation
and Perspectives for a Non-Fossil Energy Supply. In: Energies : open-access
journal of related scientific research, technology development and studies in
policy and management Bd. 16. Basel, MDPI AG (2023), Nr. 12'
havard: 'F. Atzler, J. Türck, R. Türck, J. Krahl, The Energy Situation in the Federal
Republic of Germany: Analysis of the Current Situation and Perspectives for a
Non-Fossil Energy Supply, Energies : Open-Access Journal of Related Scientific
Research, Technology Development and Studies in Policy and Management . 16 (2023).'
ieee: 'F. Atzler, J. Türck, R. Türck, and J. Krahl, “The Energy Situation in the
Federal Republic of Germany: Analysis of the Current Situation and Perspectives
for a Non-Fossil Energy Supply,” Energies : open-access journal of related
scientific research, technology development and studies in policy and management
, vol. 16, no. 12, Art. no. 4569, 2023, doi: 10.3390/en16124569.'
mla: 'Atzler, Frank, et al. “The Energy Situation in the Federal Republic of Germany:
Analysis of the Current Situation and Perspectives for a Non-Fossil Energy Supply.”
Energies : Open-Access Journal of Related Scientific Research, Technology
Development and Studies in Policy and Management , vol. 16, no. 12, 4569,
2023, https://doi.org/10.3390/en16124569.'
short: 'F. Atzler, J. Türck, R. Türck, J. Krahl, Energies : Open-Access Journal
of Related Scientific Research, Technology Development and Studies in Policy and
Management 16 (2023).'
ufg: 'Atzler, Frank u. a.: The Energy Situation in the Federal Republic of
Germany: Analysis of the Current Situation and Perspectives for a Non-Fossil Energy
Supply, in: Energies : open-access journal of related scientific research,
technology development and studies in policy and management 16 (2023), H.
12.'
van: 'Atzler F, Türck J, Türck R, Krahl J. The Energy Situation in the Federal Republic
of Germany: Analysis of the Current Situation and Perspectives for a Non-Fossil
Energy Supply. Energies : open-access journal of related scientific research,
technology development and studies in policy and management . 2023;16(12).'
date_created: 2025-04-23T08:23:33Z
date_updated: 2025-06-26T07:46:30Z
department:
- _id: DEP1408
doi: 10.3390/en16124569
external_id:
isi:
- '001014241500001'
intvolume: ' 16'
isi: '1'
issue: '12'
keyword:
- eFuels
- biomass
- bioFuels
- energy transition
- energy supply
- defossilation
- mobility
- energy storage
- energy transport
- regenerative energy
language:
- iso: eng
place: Basel
publication: ' Energies : open-access journal of related scientific research, technology
development and studies in policy and management '
publication_identifier:
eissn:
- 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: 'The Energy Situation in the Federal Republic of Germany: Analysis of the Current
Situation and Perspectives for a Non-Fossil Energy Supply'
type: scientific_journal_article
user_id: '83781'
volume: 16
year: '2023'
...
---
_id: '9360'
abstract:
- lang: eng
text: "Background: \r\nErrors can have dangerous consequences, resulting in a preventive
strategy in most company-based technical vocational education and training (TVET).
On the contrary, errors provide a useful opportunity for learning due to mismatches
of mental models and reality and especially to improve occupational safety and
health (OSH). \r\nObjective: \r\nThis article presents a didactic concept for
developing a learning system based on learning from errors. Learners shall directly
experience the consequences of erroneous actions through presenting error consequences
in augmented reality to avoid negative, dangerous, or cost-intensive outcomes.
\r\nMethods: \r\nEmpirical data prove errors to be particularly effective in TVET.
A formal description of a work system is systematically adopted to outline a connection
between work, errors concerning OSH, and a didactic concept. A proof-of-concept
systematically performs a use case for the developed learning system. It supports
critical reflections from a technical, safety, and didactical perspective, naming
implications and limitations. \r\nResults: \r\nBy learning from errors, a work-based
didactic concept supports OSH competencies relying on a learning system. The latter
integrates digital twins of the work system to simulate and visualise dangerous
error consequences for identified erroneous actions in a technical proof-of-concept.
Results demonstrate the ability to detect action errors in work processes and
simulations of error consequences in augmented reality. \r\nConclusion: \r\nThe
technical learning system for OSH education extends existing learning approaches
by showcasing virtual consequences. However, capabilities are limited regarding
prepared learning scenarios with predefined critical errors. Future studies should
assess learning effectiveness in an industrial scenario and investigate its usability."
article_type: original
author:
- first_name: Marvin
full_name: Goppold, Marvin
last_name: Goppold
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '75846'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Christopher
full_name: Brandl, Christopher
last_name: Brandl
- first_name: Verena
full_name: Nitsch , Verena
last_name: 'Nitsch '
citation:
ama: Goppold M, Herrmann JP, Tackenberg S, Brandl C, Nitsch V. An error-based augmented
reality learning system for work-based occupational safety and health education.
Work. 2022;72(4):1563-1575. doi:10.3233/WOR-211243
apa: Goppold, M., Herrmann, J.-P., Tackenberg, S., Brandl, C., & Nitsch , V.
(2022). An error-based augmented reality learning system for work-based occupational
safety and health education. Work, 72(4), 1563–1575. https://doi.org/10.3233/WOR-211243
bjps: Goppold M et al. (2022) An Error-Based Augmented Reality Learning
System for Work-Based Occupational Safety and Health Education. Work 72,
1563–1575.
chicago: 'Goppold, Marvin, Jan-Phillip Herrmann, Sven Tackenberg, Christopher Brandl,
and Verena Nitsch . “An Error-Based Augmented Reality Learning System for Work-Based
Occupational Safety and Health Education.” Work 72, no. 4 (2022): 1563–75.
https://doi.org/10.3233/WOR-211243.'
chicago-de: 'Goppold, Marvin, Jan-Phillip Herrmann, Sven Tackenberg, Christopher
Brandl und Verena Nitsch . 2022. An error-based augmented reality learning system
for work-based occupational safety and health education. Work 72, Nr. 4:
1563–1575. doi:10.3233/WOR-211243,
.'
din1505-2-1: 'Goppold, Marvin ; Herrmann, Jan-Phillip ; Tackenberg,
Sven ; Brandl, Christopher
; Nitsch , Verena: An error-based
augmented reality learning system for work-based occupational safety and health
education. In: Work Bd. 72. Amsterdam, IOS Press (2022), Nr. 4, S. 1563–1575'
havard: M. Goppold, J.-P. Herrmann, S. Tackenberg, C. Brandl, V. Nitsch , An error-based
augmented reality learning system for work-based occupational safety and health
education, Work. 72 (2022) 1563–1575.
ieee: 'M. Goppold, J.-P. Herrmann, S. Tackenberg, C. Brandl, and V. Nitsch , “An
error-based augmented reality learning system for work-based occupational safety
and health education,” Work, vol. 72, no. 4, pp. 1563–1575, 2022, doi:
10.3233/WOR-211243.'
mla: Goppold, Marvin, et al. “An Error-Based Augmented Reality Learning System for
Work-Based Occupational Safety and Health Education.” Work, vol. 72, no.
4, 2022, pp. 1563–75, https://doi.org/10.3233/WOR-211243.
short: M. Goppold, J.-P. Herrmann, S. Tackenberg, C. Brandl, V. Nitsch , Work 72
(2022) 1563–1575.
ufg: 'Goppold, Marvin u. a.: An error-based augmented reality learning system
for work-based occupational safety and health education, in: Work 72 (2022),
H. 4, S. 1563–1575.'
van: Goppold M, Herrmann JP, Tackenberg S, Brandl C, Nitsch V. An error-based augmented
reality learning system for work-based occupational safety and health education.
Work. 2022;72(4):1563–75.
date_created: 2023-01-25T13:37:17Z
date_updated: 2024-08-06T11:53:35Z
department:
- _id: DEP7000
doi: 10.3233/WOR-211243
intvolume: ' 72'
issue: '4'
keyword:
- Vocational education
- digital twin
- work system design
language:
- iso: eng
page: 1563-1575
place: Amsterdam
publication: Work
publication_identifier:
eissn:
- '1875-9270 '
issn:
- 1051-9815
publication_status: published
publisher: IOS Press
quality_controlled: '1'
status: public
title: An error-based augmented reality learning system for work-based occupational
safety and health education
type: scientific_journal_article
user_id: '83781'
volume: 72
year: '2022'
...
---
_id: '8384'
abstract:
- lang: eng
text: "ynamic simulation models are widely utilized to evaluate complex technical
components and systems like electric drives or machines. They can support the
development process of a production machine by avoiding an inadequate layout of
components or an erroneous control design. However, the effort for building them
is often too high for this purpose (lot size one). An automated model generation
can be utilized to overcome the gap between efforts and advantages of dynamic
simulations.\r\n\r\nThis contribution presents an approach for simplifying the
dynamic model generation of production machines by using the so-called Asset Administration
Shell defined by the initiative Platform Industrie 4.0. The Asset Administration
Shell was developed to aggregate all data necessary for maintaining the product
across its life cycle. This includes component data and models as well as structural
information about a machine. The generation process is performed by using the
common FMI standard and a two-step procedure which allows the linkage of different
simulation tools. The model generation is demonstrated by an example layout of
a machine's internal direct current grid."
author:
- first_name: D.
full_name: Göllner, D.
last_name: Göllner
- first_name: Thomas
full_name: Pawlik, Thomas
id: '58915'
last_name: Pawlik
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
citation:
ama: Göllner D, Pawlik T, Schulte T. Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models. (IEEE Singapore Section,
IEEE TEMS Singapore Chapter,, IEEE TEMS Hong Kong Chapter, eds.). IEEE; 2021:808-812.
doi:10.1109/IEEM50564.2021.9673089
apa: Göllner, D., Pawlik, T., & Schulte, T. (2021). Utilization of the Asset
Administration Shell for the Generation of Dynamic Simulation Models. In IEEE
Singapore Section, IEEE TEMS Singapore Chapter, & IEEE TEMS Hong Kong Chapter
(Eds.), 2021 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM) (pp. 808–812). IEEE. https://doi.org/10.1109/IEEM50564.2021.9673089
bjps: 'Göllner D, Pawlik T and Schulte T (2021) Utilization of the Asset
Administration Shell for the Generation of Dynamic Simulation Models, IEEE
Singapore Section, IEEE TEMS Singapore Chapter, and IEEE TEMS Hong Kong Chapter
(eds). [Piscataway, NJ]: IEEE.'
chicago: 'Göllner, D., Thomas Pawlik, and Thomas Schulte. Utilization of the
Asset Administration Shell for the Generation of Dynamic Simulation Models.
Edited by IEEE Singapore Section, IEEE TEMS Singapore Chapter, and IEEE TEMS Hong
Kong Chapter. 2021 IEEE International Conference on Industrial Engineering
and Engineering Management (IEEM). IEEE International Conference on Industrial
Engineering and Engineering Management . [Piscataway, NJ]: IEEE, 2021. https://doi.org/10.1109/IEEM50564.2021.9673089.'
chicago-de: 'Göllner, D., Thomas Pawlik und Thomas Schulte. 2021. Utilization
of the Asset Administration Shell for the Generation of Dynamic Simulation Models.
Hg. von IEEE Singapore Section, IEEE TEMS Singapore Chapter, und IEEE TEMS Hong
Kong Chapter. 2021 IEEE International Conference on Industrial Engineering
and Engineering Management (IEEM). IEEE International Conference on Industrial
Engineering and Engineering Management . [Piscataway, NJ]: IEEE. doi:10.1109/IEEM50564.2021.9673089,
.'
din1505-2-1: 'Göllner, D. ; Pawlik, Thomas ; Schulte,
Thomas ; IEEE Singapore Section
; IEEE TEMS Singapore Chapter, ;
IEEE TEMS Hong Kong Chapter (Hrsg.):
Utilization of the Asset Administration Shell for the Generation of Dynamic
Simulation Models, IEEE International Conference on Industrial Engineering
and Engineering Management . [Piscataway, NJ] : IEEE, 2021'
havard: D. Göllner, T. Pawlik, T. Schulte, Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models, IEEE, [Piscataway, NJ],
2021.
ieee: 'D. Göllner, T. Pawlik, and T. Schulte, Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models. [Piscataway, NJ]: IEEE,
2021, pp. 808–812. doi: 10.1109/IEEM50564.2021.9673089.'
mla: Göllner, D., et al. “Utilization of the Asset Administration Shell for the
Generation of Dynamic Simulation Models.” 2021 IEEE International Conference
on Industrial Engineering and Engineering Management (IEEM), edited by IEEE
Singapore Section et al., IEEE, 2021, pp. 808–12, https://doi.org/10.1109/IEEM50564.2021.9673089.
short: D. Göllner, T. Pawlik, T. Schulte, Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models, IEEE, [Piscataway, NJ],
2021.
ufg: 'Göllner, D./Pawlik, Thomas/Schulte, Thomas: Utilization of the Asset
Administration Shell for the Generation of Dynamic Simulation Models, hg. von
IEEE Singapore Section/IEEE TEMS Singapore Chapter,, IEEE TEMS Hong Kong Chapter,
[Piscataway, NJ] 2021 (IEEE International Conference on Industrial Engineering
and Engineering Management ).'
van: 'Göllner D, Pawlik T, Schulte T. Utilization of the Asset Administration Shell
for the Generation of Dynamic Simulation Models. IEEE Singapore Section, IEEE
TEMS Singapore Chapter,, IEEE TEMS Hong Kong Chapter, editors. 2021 IEEE International
Conference on Industrial Engineering and Engineering Management (IEEM). [Piscataway,
NJ]: IEEE; 2021. (IEEE International Conference on Industrial Engineering and
Engineering Management ).'
conference:
end_date: 2021-12-16
location: Online (Singapore)
name: 2021 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM)
start_date: 2021-12-13
corporate_editor:
- IEEE Singapore Section
- IEEE TEMS Singapore Chapter,
- IEEE TEMS Hong Kong Chapter
date_created: 2022-06-22T14:14:28Z
date_updated: 2025-06-26T13:38:36Z
department:
- _id: DEP6020
- _id: DEP5022
doi: 10.1109/IEEM50564.2021.9673089
keyword:
- Digital Twin
- Asset Administration Shell
- Dynamic Simulation Model
- Industry 4.0
- Automated Model Generation
language:
- iso: eng
page: 808-812
place: '[Piscataway, NJ]'
publication: 2021 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM)
publication_identifier:
eisbn:
- 978-1-6654-3771-4
isbn:
- '978-1-6654-3772-1 '
issn:
- 2157-3611
publication_status: published
publisher: IEEE
series_title: 'IEEE International Conference on Industrial Engineering and Engineering
Management '
status: public
title: Utilization of the Asset Administration Shell for the Generation of Dynamic
Simulation Models
type: conference_editor_article
user_id: '83781'
year: '2021'
...
---
_id: '3349'
abstract:
- lang: eng
text: "Model-based concepts and simulation techniques in combination with digital
tools emerge as a key to explore the full potential of biopharmaceutical production
processes, which contain several challenging development and process steps. One
of these steps is the time- and cost-intensive cell proliferation process (also
called seed train) to increase cell number from cell thawing up to production
scale. Challenges like complex cell metabolism, batch-to-batch variation, variabilities
in cell behavior, and influences of changes in cultivation conditions necessitate
adequate digital solutions to provide information about the current and near future
process state to derive correct process decisions.\r\nFor this purpose digital
seed train twins have proved to be efficient, which digitally display the time-dependent
behavior of important process variables based on mathematical models, strategies,
and adaption procedures.\r\nThis chapter will outline the needs for digitalization
of seed trains, the construction of a digital seed train twin, the role of parameter
estimation, and different statistical methods within this context, which are applicable
to several problems in the field of bioprocessing. The results of a case study
are presented to illustrate a Bayesian approach for parameter estimation and prediction
of an industrial cell culture seed train for seed train digitalization."
author:
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
citation:
ama: 'Hernández Rodriguez T, Frahm B. Digital Seed Train Twins and Statistical Methods.
In: Herwig C, Pörtner R, Möller J, eds. Digital Twins Tools and Concepts for
Smart Biomanufacturing. Vol 176. Advances in Biochemical Engineering/Biotechnology.
Springer; 2021:97-131. doi:https://doi.org/10.1007/10_2020_137'
apa: Hernández Rodriguez, T., & Frahm, B. (2021). Digital Seed Train Twins and
Statistical Methods. In C. Herwig, R. Pörtner, & J. Möller (Eds.), Digital
Twins Tools and Concepts for Smart Biomanufacturing (Vol. 176, pp. 97–131).
Springer. https://doi.org/10.1007/10_2020_137
bjps: 'Hernández Rodriguez T and Frahm B (2021) Digital Seed Train Twins
and Statistical Methods. In Herwig C, Pörtner R and Möller J (eds), Digital
Twins Tools and Concepts for Smart Biomanufacturing, vol. 176. Berlin, Heidelberg:
Springer, pp. 97–131.'
chicago: 'Hernández Rodriguez, Tanja, and Björn Frahm. “Digital Seed Train Twins
and Statistical Methods.” In Digital Twins Tools and Concepts for Smart Biomanufacturing,
edited by Christoph Herwig, Ralf Pörtner, and Johannes Möller, 176:97–131.
Advances in Biochemical Engineering/Biotechnology. Berlin, Heidelberg: Springer,
2021. https://doi.org/10.1007/10_2020_137.'
chicago-de: 'Hernández Rodriguez, Tanja und Björn Frahm. 2021. Digital Seed Train
Twins and Statistical Methods. In: Digital Twins Tools and Concepts for Smart
Biomanufacturing, hg. von Christoph Herwig, Ralf Pörtner, und Johannes Möller,
176:97–131. Advances in Biochemical Engineering/Biotechnology. Berlin, Heidelberg:
Springer. doi:https://doi.org/10.1007/10_2020_137,
.'
din1505-2-1: 'Hernández Rodriguez, Tanja
; Frahm, Björn: Digital Seed Train
Twins and Statistical Methods. In: Herwig,
C. ; Pörtner, R. ; Möller, J. (Hrsg.): Digital Twins Tools
and Concepts for Smart Biomanufacturing, Advances in Biochemical Engineering/Biotechnology.
Bd. 176. Berlin, Heidelberg : Springer, 2021, S. 97–131'
havard: 'T. Hernández Rodriguez, B. Frahm, Digital Seed Train Twins and Statistical
Methods, in: C. Herwig, R. Pörtner, J. Möller (Eds.), Digital Twins Tools and
Concepts for Smart Biomanufacturing, Springer, Berlin, Heidelberg, 2021: pp. 97–131.'
ieee: 'T. Hernández Rodriguez and B. Frahm, “Digital Seed Train Twins and Statistical
Methods,” in Digital Twins Tools and Concepts for Smart Biomanufacturing,
vol. 176, C. Herwig, R. Pörtner, and J. Möller, Eds. Berlin, Heidelberg: Springer,
2021, pp. 97–131. doi: https://doi.org/10.1007/10_2020_137.'
mla: Hernández Rodriguez, Tanja, and Björn Frahm. “Digital Seed Train Twins and
Statistical Methods.” Digital Twins Tools and Concepts for Smart Biomanufacturing,
edited by Christoph Herwig et al., vol. 176, Springer, 2021, pp. 97–131, https://doi.org/10.1007/10_2020_137.
short: 'T. Hernández Rodriguez, B. Frahm, in: C. Herwig, R. Pörtner, J. Möller (Eds.),
Digital Twins Tools and Concepts for Smart Biomanufacturing, Springer, Berlin,
Heidelberg, 2021, pp. 97–131.'
ufg: 'Hernández Rodriguez, Tanja/Frahm, Björn: Digital Seed Train Twins and
Statistical Methods, in: Herwig, Christoph/Pörtner, Ralf/Möller, Johannes (Hgg.):
Digital Twins Tools and Concepts for Smart Biomanufacturing, Bd. 176, Berlin,
Heidelberg 2021 (Advances in Biochemical Engineering/Biotechnology), S. 97–131.'
van: 'Hernández Rodriguez T, Frahm B. Digital Seed Train Twins and Statistical Methods.
In: Herwig C, Pörtner R, Möller J, editors. Digital Twins Tools and Concepts for
Smart Biomanufacturing. Berlin, Heidelberg: Springer; 2021. p. 97–131. (Advances
in Biochemical Engineering/Biotechnology; vol. 176).'
date_created: 2020-08-19T07:14:11Z
date_updated: 2023-08-16T06:48:35Z
department:
- _id: DEP4021
doi: https://doi.org/10.1007/10_2020_137
editor:
- first_name: 'Christoph '
full_name: 'Herwig, Christoph '
last_name: Herwig
- first_name: 'Ralf '
full_name: 'Pörtner, Ralf '
last_name: Pörtner
- first_name: 'Johannes '
full_name: 'Möller, Johannes '
last_name: Möller
intvolume: ' 176'
keyword:
- Bayes
- Digital twin
- Parameter estimation
- Seed train
- Uncertainty
language:
- iso: eng
page: 97–131
place: Berlin, Heidelberg
publication: Digital Twins Tools and Concepts for Smart Biomanufacturing
publication_identifier:
eisbn:
- 978-3-030-71660-8
eissn:
- 1616-8542
isbn:
- 978-3-030-71659-2
issn:
- 0724-6145
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Advances in Biochemical Engineering/Biotechnology
status: public
title: Digital Seed Train Twins and Statistical Methods
type: book_chapter
user_id: '83781'
volume: 176
year: '2021'
...