---
_id: '7036'
author:
- first_name: Christian
  full_name: Schwede, Christian
  id: '237874'
  last_name: Schwede
  orcid: 0009-0003-0431-6547
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-0431-6547/work/219583826
- first_name: Lennart
  full_name: Schipper, Lennart
  last_name: Schipper
- first_name: Jan
  full_name: Cirullies, Jan
  last_name: Cirullies
citation:
  alphadin: '<span style="font-variant:small-caps;">Schwede, Christian</span> ; <span
    style="font-variant:small-caps;">Schipper, Lennart</span> ; <span style="font-variant:small-caps;">Cirullies,
    Jan</span>: Enabling Non-Simulation Experts to Adapt Digital Twins during Production
    System Redesign using Agentic AI. In: <span style="font-variant:small-caps;">Association
    for Computing Machinery</span> (Hrsg.): <i>Proceedings of the 2026 9th International
    Conference on Computers in Management and Business</i>. New York, NY, USA : ACM,
    2026, S. 102–106'
  ama: 'Schwede C, Schipper L, Cirullies J. Enabling Non-Simulation Experts to Adapt
    Digital Twins during Production System Redesign using Agentic AI. In: Association
    for Computing Machinery, ed. <i>Proceedings of the 2026 9th International Conference
    on Computers in Management and Business</i>. New York, NY, USA: ACM; 2026:102-106.
    doi:<a href="https://doi.org/10.1145/3802463.3802479">10.1145/3802463.3802479</a>'
  apa: 'Schwede, C., Schipper, L., &#38; Cirullies, J. (2026). Enabling Non-Simulation
    Experts to Adapt Digital Twins during Production System Redesign using Agentic
    AI. In Association for Computing Machinery (Ed.), <i>Proceedings of the 2026 9th
    International Conference on Computers in Management and Business</i> (pp. 102–106).
    New York, NY, USA: ACM. <a href="https://doi.org/10.1145/3802463.3802479">https://doi.org/10.1145/3802463.3802479</a>'
  bibtex: '@inproceedings{Schwede_Schipper_Cirullies_2026, place={New York, NY, USA},
    title={Enabling Non-Simulation Experts to Adapt Digital Twins during Production
    System Redesign using Agentic AI}, DOI={<a href="https://doi.org/10.1145/3802463.3802479">10.1145/3802463.3802479</a>},
    booktitle={Proceedings of the 2026 9th International Conference on Computers in
    Management and Business}, publisher={ACM}, author={Schwede, Christian and Schipper,
    Lennart and Cirullies, Jan}, editor={Association for Computing MachineryEditor},
    year={2026}, pages={102–106} }'
  chicago: 'Schwede, Christian, Lennart Schipper, and Jan Cirullies. “Enabling Non-Simulation
    Experts to Adapt Digital Twins during Production System Redesign Using Agentic
    AI.” In <i>Proceedings of the 2026 9th International Conference on Computers in
    Management and Business</i>, edited by Association for Computing Machinery, 102–6.
    New York, NY, USA: ACM, 2026. <a href="https://doi.org/10.1145/3802463.3802479">https://doi.org/10.1145/3802463.3802479</a>.'
  ieee: C. Schwede, L. Schipper, and J. Cirullies, “Enabling Non-Simulation Experts
    to Adapt Digital Twins during Production System Redesign using Agentic AI,” in
    <i>Proceedings of the 2026 9th International Conference on Computers in Management
    and Business</i>, Tokyo Japan, 2026, pp. 102–106.
  mla: Schwede, Christian, et al. “Enabling Non-Simulation Experts to Adapt Digital
    Twins during Production System Redesign Using Agentic AI.” <i>Proceedings of the
    2026 9th International Conference on Computers in Management and Business</i>,
    edited by Association for Computing Machinery, ACM, 2026, pp. 102–06, doi:<a href="https://doi.org/10.1145/3802463.3802479">10.1145/3802463.3802479</a>.
  short: 'C. Schwede, L. Schipper, J. Cirullies, in: Association for Computing Machinery
    (Ed.), Proceedings of the 2026 9th International Conference on Computers in Management
    and Business, ACM, New York, NY, USA, 2026, pp. 102–106.'
conference:
  end_date: 2026-03-01
  location: Tokyo Japan
  name: 'ICCMB 2026: 2026 9th International Conference on Computers in Management
    and Business'
  start_date: 2026-02-27
corporate_editor:
- Association for Computing Machinery
date_created: 2026-07-03T07:57:42Z
date_updated: 2026-07-03T15:07:37Z
doi: 10.1145/3802463.3802479
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 102-106
place: New York, NY, USA
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
  name: Institute for Data Science Solutions
publication: Proceedings of the 2026 9th International Conference on Computers in
  Management and Business
publication_identifier:
  isbn:
  - '9798400722288'
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Enabling Non-Simulation Experts to Adapt Digital Twins during Production System
  Redesign using Agentic AI
type: conference
user_id: '220548'
year: '2026'
...