---
_id: '56166'
abstract:
- lang: eng
  text: Developing Intelligent Technical Systems (ITS) involves a complex process
    encompassing planning, analysis, design, production, and maintenance. Model-Based
    Systems Engineering (MBSE) is a key methodology for systematic systems engineering.
    Designing models for ITS requires harmonious interaction of various elements,
    posing a challenge in MBSE. Leveraging Generative Artificial Intelligence, we
    generated a dataset for modeling, using prompt engineering on large language models.
    The generated artifacts can aid engineers in MBSE design or serve as synthetic
    training data for AI assistants.
author:
- first_name: Pranav Jayant
  full_name: Kulkarni, Pranav Jayant
  id: '86782'
  last_name: Kulkarni
- first_name: Denis
  full_name: Tissen, Denis
  id: '44458'
  last_name: Tissen
- first_name: Ruslan
  full_name: Bernijazov, Ruslan
  id: '36312'
  last_name: Bernijazov
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
citation:
  ama: 'Kulkarni PJ, Tissen D, Bernijazov R, Dumitrescu R. Towards Automated Design:
    Automatically Generating Modeling Elements with Prompt Engineering and Generative
    Artificial Intelligence. In: Malmqvist J, Candi M, Saemundsson R, Bystrom F, Isaksson
    O, eds. <i>DS 130: Proceedings of NordDesign 2024</i>. ; 2024:617-625. doi:<a
    href="https://doi.org/10.35199/NORDDESIGN2024.66">10.35199/NORDDESIGN2024.66</a>'
  apa: 'Kulkarni, P. J., Tissen, D., Bernijazov, R., &#38; Dumitrescu, R. (2024).
    Towards Automated Design: Automatically Generating Modeling Elements with Prompt
    Engineering and Generative Artificial Intelligence. In J. Malmqvist, M. Candi,
    R. Saemundsson, F. Bystrom, &#38; O. Isaksson (Eds.), <i>DS 130: Proceedings of
    NordDesign 2024</i> (pp. 617–625). <a href="https://doi.org/10.35199/NORDDESIGN2024.66">https://doi.org/10.35199/NORDDESIGN2024.66</a>'
  bibtex: '@inproceedings{Kulkarni_Tissen_Bernijazov_Dumitrescu_2024, title={Towards
    Automated Design: Automatically Generating Modeling Elements with Prompt Engineering
    and Generative Artificial Intelligence}, DOI={<a href="https://doi.org/10.35199/NORDDESIGN2024.66">10.35199/NORDDESIGN2024.66</a>},
    booktitle={DS 130: Proceedings of NordDesign 2024}, author={Kulkarni, Pranav Jayant
    and Tissen, Denis and Bernijazov, Ruslan and Dumitrescu, Roman}, editor={Malmqvist,
    J. and Candi, M. and Saemundsson, R. and Bystrom, F. and Isaksson, O.}, year={2024},
    pages={617–625} }'
  chicago: 'Kulkarni, Pranav Jayant, Denis Tissen, Ruslan Bernijazov, and Roman Dumitrescu.
    “Towards Automated Design: Automatically Generating Modeling Elements with Prompt
    Engineering and Generative Artificial Intelligence.” In <i>DS 130: Proceedings
    of NordDesign 2024</i>, edited by J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom,
    and O. Isaksson, 617–25, 2024. <a href="https://doi.org/10.35199/NORDDESIGN2024.66">https://doi.org/10.35199/NORDDESIGN2024.66</a>.'
  ieee: 'P. J. Kulkarni, D. Tissen, R. Bernijazov, and R. Dumitrescu, “Towards Automated
    Design: Automatically Generating Modeling Elements with Prompt Engineering and
    Generative Artificial Intelligence,” in <i>DS 130: Proceedings of NordDesign 2024</i>,
    Reykjavik, 2024, pp. 617–625, doi: <a href="https://doi.org/10.35199/NORDDESIGN2024.66">10.35199/NORDDESIGN2024.66</a>.'
  mla: 'Kulkarni, Pranav Jayant, et al. “Towards Automated Design: Automatically Generating
    Modeling Elements with Prompt Engineering and Generative Artificial Intelligence.”
    <i>DS 130: Proceedings of NordDesign 2024</i>, edited by J. Malmqvist et al.,
    2024, pp. 617–25, doi:<a href="https://doi.org/10.35199/NORDDESIGN2024.66">10.35199/NORDDESIGN2024.66</a>.'
  short: 'P.J. Kulkarni, D. Tissen, R. Bernijazov, R. Dumitrescu, in: J. Malmqvist,
    M. Candi, R. Saemundsson, F. Bystrom, O. Isaksson (Eds.), DS 130: Proceedings
    of NordDesign 2024, 2024, pp. 617–625.'
conference:
  end_date: 2024-08-14
  location: Reykjavik
  name: NordDesign Conference 2024
  start_date: 2024-08-12
date_created: 2024-09-17T09:56:43Z
date_updated: 2024-09-17T09:57:07Z
doi: 10.35199/NORDDESIGN2024.66
editor:
- first_name: J.
  full_name: Malmqvist, J.
  last_name: Malmqvist
- first_name: M.
  full_name: Candi, M.
  last_name: Candi
- first_name: R.
  full_name: Saemundsson, R.
  last_name: Saemundsson
- first_name: F.
  full_name: Bystrom, F.
  last_name: Bystrom
- first_name: O.
  full_name: Isaksson, O.
  last_name: Isaksson
keyword:
- Data Driven Design
- Design Automation
- Systems Engineering (SE)
- Artificial Intelligence (AI)
language:
- iso: eng
page: 617-625
publication: 'DS 130: Proceedings of NordDesign 2024'
publication_identifier:
  unknown:
  - 978-1-912254-21-7
publication_status: epub_ahead
related_material:
  link:
  - relation: confirmation
    url: https://www.designsociety.org/publication/47658/Towards+Automated+Design%3A+Automatically+Generating+Modeling+Elements+with+Prompt+Engineering+and+Generative+Artificial+Intelligence
status: public
title: 'Towards Automated Design: Automatically Generating Modeling Elements with
  Prompt Engineering and Generative Artificial Intelligence'
type: conference
user_id: '86782'
year: '2024'
...
---
_id: '52369'
abstract:
- lang: eng
  text: Megatrends, such as digitization or sustainability, are confronting the product
    management of manufacturing companies with a variety of challenges regarding the
    design of future products, but also the management of the actual products. To
    successfully position their products in the market, product managers need to gather
    and analyze comprehensive information about customers, developments in the products’
    environment, product usage, and more. The digitization of all aspects of life
    is making data on these topics increasingly available – via social media, documents,
    or the internet of things from the products themselves. The systematic collection
    and analysis of these data enable the exploitation of new potentials for the adaption
    of existing products and the creation of the products of tomorrow. However, there
    are still no insights into the main concepts and cause-effect relationships in
    exploiting data-driven approaches for product management. Therefore, this paper
    aims to identify the main concepts and advantages of data-driven product management.
    To answer the corresponding research questions a comprehensive systematic literature
    review is conducted. From its results, a detailed description of the main concepts
    of data-driven product management is derived. Furthermore, a taxonomy for the
    advantages of data-driven product management is presented. The main concepts and
    the taxonomy allow for a deeper understanding of the topic while highlighting
    necessary future actions and research needs.
author:
- first_name: Timm
  full_name: Fichtler, Timm
  id: '66731'
  last_name: Fichtler
  orcid: https://orcid.org/0000-0001-6034-4399
- first_name: Khoren
  full_name: Grigoryan, Khoren
  last_name: Grigoryan
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
citation:
  ama: 'Fichtler T, Grigoryan K, Koldewey C, Dumitrescu R. Towards a Data-Driven Product
    Management – Concepts, Advantages, and Future Research. In: <i>2023 IEEE International
    Conference on Technology Management, Operations and Decisions (ICTMOD)</i>. IEEE;
    2023. doi:<a href="https://doi.org/10.1109/ictmod59086.2023.10438135">10.1109/ictmod59086.2023.10438135</a>'
  apa: Fichtler, T., Grigoryan, K., Koldewey, C., &#38; Dumitrescu, R. (2023). Towards
    a Data-Driven Product Management – Concepts, Advantages, and Future Research.
    <i>2023 IEEE International Conference on Technology Management, Operations and
    Decisions (ICTMOD)</i>. IEEE International Conference on Technology Management,
    Operations and Decisions (ICTMOD), Rabat, Morocco. <a href="https://doi.org/10.1109/ictmod59086.2023.10438135">https://doi.org/10.1109/ictmod59086.2023.10438135</a>
  bibtex: '@inproceedings{Fichtler_Grigoryan_Koldewey_Dumitrescu_2023, title={Towards
    a Data-Driven Product Management – Concepts, Advantages, and Future Research},
    DOI={<a href="https://doi.org/10.1109/ictmod59086.2023.10438135">10.1109/ictmod59086.2023.10438135</a>},
    booktitle={2023 IEEE International Conference on Technology Management, Operations
    and Decisions (ICTMOD)}, publisher={IEEE}, author={Fichtler, Timm and Grigoryan,
    Khoren and Koldewey, Christian and Dumitrescu, Roman}, year={2023} }'
  chicago: Fichtler, Timm, Khoren Grigoryan, Christian Koldewey, and Roman Dumitrescu.
    “Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research.”
    In <i>2023 IEEE International Conference on Technology Management, Operations
    and Decisions (ICTMOD)</i>. IEEE, 2023. <a href="https://doi.org/10.1109/ictmod59086.2023.10438135">https://doi.org/10.1109/ictmod59086.2023.10438135</a>.
  ieee: 'T. Fichtler, K. Grigoryan, C. Koldewey, and R. Dumitrescu, “Towards a Data-Driven
    Product Management – Concepts, Advantages, and Future Research,” presented at
    the IEEE International Conference on Technology Management, Operations and Decisions
    (ICTMOD), Rabat, Morocco, 2023, doi: <a href="https://doi.org/10.1109/ictmod59086.2023.10438135">10.1109/ictmod59086.2023.10438135</a>.'
  mla: Fichtler, Timm, et al. “Towards a Data-Driven Product Management – Concepts,
    Advantages, and Future Research.” <i>2023 IEEE International Conference on Technology
    Management, Operations and Decisions (ICTMOD)</i>, IEEE, 2023, doi:<a href="https://doi.org/10.1109/ictmod59086.2023.10438135">10.1109/ictmod59086.2023.10438135</a>.
  short: 'T. Fichtler, K. Grigoryan, C. Koldewey, R. Dumitrescu, in: 2023 IEEE International
    Conference on Technology Management, Operations and Decisions (ICTMOD), IEEE,
    2023.'
conference:
  end_date: 2023-11-24
  location: Rabat, Morocco
  name: IEEE International Conference on Technology Management, Operations and Decisions
    (ICTMOD)
  start_date: 2023-11-22
date_created: 2024-03-07T18:13:47Z
date_updated: 2024-03-07T18:17:34Z
department:
- _id: '563'
doi: 10.1109/ictmod59086.2023.10438135
keyword:
- Product Lifecyle Management (PLM)
- Data Analytics
- Data-driven Design
- Engineering Management
- Lifecycle Data
language:
- iso: eng
publication: 2023 IEEE International Conference on Technology Management, Operations
  and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
status: public
title: Towards a Data-Driven Product Management – Concepts, Advantages, and Future
  Research
type: conference
user_id: '66731'
year: '2023'
...
---
_id: '45793'
abstract:
- lang: eng
  text: The global megatrends of digitization and sustainability lead to new challenges
    for the design and management of technical products in industrial companies. Product
    management - as the bridge between market and company - has the task to absorb
    and combine the manifold requirements and make the right product-related decisions.
    In the process, product management is confronted with heterogeneous information,
    rapidly changing portfolio components, as well as increasing product, and organizational
    complexity. Combining and utilizing data from different sources, e.g., product
    usage data and social media data leads to promising potentials to improve the
    quality of product-related decisions. In this paper, we reinforce the need for
    data-driven product management as an interdisciplinary field of action. The state
    of data-driven product management in practice was analyzed by conducting workshops
    with six manufacturing companies and hosting a focus group meeting with experts
    from different industries. We investigate the expectations and derive requirements
    leading us to open research questions, a vision for data-driven product management,
    and a research agenda to shape future research efforts.
author:
- first_name: Khoren
  full_name: Grigoryan, Khoren
  last_name: Grigoryan
- first_name: Timm
  full_name: Fichtler, Timm
  id: '66731'
  last_name: Fichtler
  orcid: https://orcid.org/0000-0001-6034-4399
- first_name: Nick
  full_name: Schreiner, Nick
  last_name: Schreiner
- first_name: Martin
  full_name: Rabe, Martin
  last_name: Rabe
- first_name: Melina
  full_name: Panzner, Melina
  id: '72658'
  last_name: Panzner
- first_name: Arno
  full_name: Kühn, Arno
  last_name: Kühn
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
citation:
  ama: 'Grigoryan K, Fichtler T, Schreiner N, et al. Data-Driven Product Management:
    A Practitioner-Driven Research Agenda. In: <i>Procedia CIRP 33</i>. ; 2023.'
  apa: 'Grigoryan, K., Fichtler, T., Schreiner, N., Rabe, M., Panzner, M., Kühn, A.,
    Dumitrescu, R., &#38; Koldewey, C. (2023). Data-Driven Product Management: A Practitioner-Driven
    Research Agenda. <i>Procedia CIRP 33</i>. 33rd CIRP Design Conference, Sydney.'
  bibtex: '@inproceedings{Grigoryan_Fichtler_Schreiner_Rabe_Panzner_Kühn_Dumitrescu_Koldewey_2023,
    title={Data-Driven Product Management: A Practitioner-Driven Research Agenda},
    booktitle={Procedia CIRP 33}, author={Grigoryan, Khoren and Fichtler, Timm and
    Schreiner, Nick and Rabe, Martin and Panzner, Melina and Kühn, Arno and Dumitrescu,
    Roman and Koldewey, Christian}, year={2023} }'
  chicago: 'Grigoryan, Khoren, Timm Fichtler, Nick Schreiner, Martin Rabe, Melina
    Panzner, Arno Kühn, Roman Dumitrescu, and Christian Koldewey. “Data-Driven Product
    Management: A Practitioner-Driven Research Agenda.” In <i>Procedia CIRP 33</i>,
    2023.'
  ieee: 'K. Grigoryan <i>et al.</i>, “Data-Driven Product Management: A Practitioner-Driven
    Research Agenda,” presented at the 33rd CIRP Design Conference, Sydney, 2023.'
  mla: 'Grigoryan, Khoren, et al. “Data-Driven Product Management: A Practitioner-Driven
    Research Agenda.” <i>Procedia CIRP 33</i>, 2023.'
  short: 'K. Grigoryan, T. Fichtler, N. Schreiner, M. Rabe, M. Panzner, A. Kühn, R.
    Dumitrescu, C. Koldewey, in: Procedia CIRP 33, 2023.'
conference:
  location: Sydney
  name: 33rd CIRP Design Conference
date_created: 2023-06-27T13:46:45Z
date_updated: 2023-06-27T13:57:42Z
department:
- _id: '563'
- _id: '241'
keyword:
- Product Management
- Data Analytics
- Data-Driven Design
- Product-related data
- Lifecycle Data
- Tool-support
language:
- iso: eng
publication: Procedia CIRP 33
status: public
title: 'Data-Driven Product Management: A Practitioner-Driven Research Agenda'
type: conference
user_id: '66731'
year: '2023'
...