Abstract
It is often unknown whether a new approach for production control, e. g. control strategies, leads to improvement in a real production system. Due to concerns about poor performance, it is practically impossible to test such approaches in real production. In addition, it is doubtful that testing in a single production system allows a general statement about potentials and limitations. There is a lack of a standardized method for generating validation model sets with which new approaches can be tested. To overcome this problem, this paper presents a tool for the automatic generation of simulation model sets. These model sets represent different types of production systems and thus enable the standardized and structured validation of new production planning and control methods.
Published Version
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