Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI

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. Proceedings of the 2026 9th International Conference on Computers in Management and Business. New York, NY, USA: ACM; 2026:102-106. doi:10.1145/3802463.3802479

Schwede, C., Schipper, L., & Cirullies, J. (2026). Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI. In Association for Computing Machinery (Ed.), Proceedings of the 2026 9th International Conference on Computers in Management and Business (pp. 102–106). New York, NY, USA: ACM. https://doi.org/10.1145/3802463.3802479

@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={10.1145/3802463.3802479}, 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} }

Schwede, Christian, Lennart Schipper, and Jan Cirullies. “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign Using Agentic AI.” In Proceedings of the 2026 9th International Conference on Computers in Management and Business, edited by Association for Computing Machinery, 102–6. New York, NY, USA: ACM, 2026. https://doi.org/10.1145/3802463.3802479.

C. Schwede, L. Schipper, and J. Cirullies, “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI,” in Proceedings of the 2026 9th International Conference on Computers in Management and Business, Tokyo Japan, 2026, pp. 102–106.

Schwede, Christian, et al. “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign Using Agentic AI.” Proceedings of the 2026 9th International Conference on Computers in Management and Business, edited by Association for Computing Machinery, ACM, 2026, pp. 102–06, doi:10.1145/3802463.3802479.