Simulation task manager for production planning: design goals and requirements for human–AI teams
- Simulation is widely used in production planning and scheduling (PPS), but the modeling process itself remains under-supported: decisions about scope, detail, and trade-offs are rarely documented, and current uses of Artificial Intelligence (AI) largely automate tasks rather than support collaborative reasoning. Drawing on a systematic literature review of PPS simulation and insights from Human-AI Teams, this study develops the concept of a Simulation Task Manager (STM). Following a Design Science Research approach, we derive design goals and requirements and present an early prototype. The STM functions as an orchestration layer that structures the simulation workflow, makes roles and decisions explicit, and enables AI to participate as a collaborative assistant. The work contributes a human-centered artifact concept that enhances transparency and coordination in simulation modeling, supporting the shift toward Industry 5.0 practices.
| Author of HS Reutlingen | Senjic, Pascal; Bitsch, Günter; Braun, Anja |
|---|---|
| URL: | https://aisel.aisnet.org/ecis2026/entmodel/entmodel/3 |
| ISSN: | 2184-1934 |
| Published in: | 34th European Conference on Information Systems (ECIS 2026), 15-17 June 2026, Milan, proceedings |
| Publisher: | Association for Information Systems |
| Place of publication: | Atlanta, GA |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2026 |
| Tag: | human-AI teams; industry 5.0; production planning and scheduling; simulation modeling |
| Page Number: | 10 |
| DDC classes: | 670 Industrielle und handwerkliche Fertigung |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
