This paper discusses ideas about and experiences with flexible simulation of real-time data streams generated by production networks when state-of-the-art automatic identification and localization technologies are applied. Flexibility here means the possibility to freely define the objects and their related types of events and statuses that are recorded in production and logistics processes. The data streams generated during simulation can be used to test and compare operational control strategies for processes in production networks in an offline or online mode.
