Authors: Rainer Frick
The field of discrete event simulation used for logistics simulation is covered by many software tools and software libraries. Most of them offer libraries and functionality to model a simulation case and run experiments. Already small changes of the logistics case can result in considerable efforts of changing the simulation model. Data-driven simulation modelling provides the possibility to reduce adaptation work and makes simulation model more long-lasting. This work comes up with a reflection of state-of-the-art data- driven modelling techniques and reports on implemented sample cases in the world of logistics.