TY - CHAP A1 - Dilefeld, Maximilian A1 - Claus, Thorsten A1 - Teich, Enrico T1 - Robot Task Assignment In Dynamic Factory Environments T2 - Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland N2 - Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are being applied more and more frequently in a wide range of use cases. Following the general trend of decentralisation of control structure in the Industry 4.0 paradigm, this paper analyses the application of auction algorithms to solve the robot task assignment problem. We focus on the use of mobile robots in production environments with a high level of uncertainty which places hight demand on the flexibility of the online scheduling architecture. A sequential single-item (SSI) auction algorithm is validated for a real-world use case where multiple mobile robots supply car bodies to manual rework stations in a paint shop application using simulation. The optimization objective of such an algorithm is discussed in regards to the examined use case. KW - Mobile Robots KW - Auction KW - Simulation Y1 - 2024 SN - 978-3-937436-84-5 U6 - https://doi.org/10.7148/2024-0338 SN - 2522-2422 SP - 338 EP - 344 PB - ECMS ER -