conference paper published yes Christian Schwede author 2378740009-0003-0431-6547 Lennart Schipper author Jan Cirullies author ICCMB 2026: 2026 9th International Conference on Computers in Management and Business Institute for Data Science Solutions project ACM2026Tokyo Japan eng 979840072228810.1145/3802463.3802479 102-106 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>. 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> 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. 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>. <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 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> @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} } 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. 70362026-07-03T07:57:42Z2026-07-03T15:07:37Z