Modelling Dynamics of Autonomous Logistic Processes: Discrete-event versus Continuous Approaches

For developing and benchmarking autonomous logistic processes, dynamic models are essential. The paper investigates two different modelling approaches regarding their abilities to describe an exemplary scenario -an autonomously controlled shop floor. A discrete-event simulation model is compared to a continuous System Dynamics model. An autonomous control strategy is developed and its effectiveness and robustness are investigated by analysing the dynamic behaviour and the logistic performance in cases of work load fluctuations and unexpected disturbances.