Autor: Christian Weckenborg

Simulation is frequently used for prediction of the outcome of adjustments in production systems. Real decision processes must be represented in the simulation. To achieve this, complex real decision processes have to be transferred into the simulation. This leads to a high effort for the creation of simulation models. This is resolved by the concept of iterative optimization-based simulation. Instead of transferring complex decision processes into the simulation, the predicted parameters are exported and existing decision processes determine a solution.

The implementation of Industry 4.0 solutions offers great potential for meeting growing challenges in the context of digitization. Nevertheless, particularly small and medium-sized companies are hesitant to implement Industry 4.0 solutions. Within the framework of the ERDF research project »Synus«, methods and tools were developed to support small and medium-sized companies in the evaluation and selection of Industry 4.0 solutions. This contribution presents the potential model, which enables small and medium-sized enterprises to select suitable Industry 4.0 solutions.