In current logistics systems, there is a trend towards more and more smaller and smaller transport positions (atomisation of load). This increases the complexity of planning and control. Therefore, there is a need for new concepts to be able to still have efficient logistics in the future. Such a new concept is the autonomous control where intelligence and decision autonomy are moved as far as possible from a central control instance towards the individual vehicles and goods. For this concept of autonomously controlled logistics components, a model is needed to represent the logistics processes and to enable the investigation and evaluation of solution approaches. Such a model has been developed in the CRC 637 “Autonomous Controlled Logistics Processes - A Paradigm Shift and its Limitations" [1] as a discrete-event simulation platform and is presented here with exemplary results of a control algorithm.
