An interactive decision support framework is presented that assists lab researchers in finding optimal product recipes. Within this framework, an approach for sequential experimental design for black box models in a multicriteria optimization context is introduced. An additional criterion involving the prediction error to design new experiments is used with the goal to get a reliable estimate of the Pareto frontier within a few experimental iterations. The resulting decision support approach accompanies the chemist through the whole workflow and supports the user via interactive, graphical elements.

In der industriellen Praxis werden in verschiedenen Phasen des Lebenszyklus einer Model Life Cycle in the Chemical Industry Using an Example of Virtual CommissioningIn current industrial practices, different simulation tools are used throughout the life cycle of a process plant. However, there is no continuous use of these tools available so far. Especially, reuse of the process models is strongly limited. Therefore, in this work we developed a technique, that enables the creation of dynamic mid-fidelity models from already existing steady-state high-fidelity ones in a systematical and efficient way. These models can be used in later phases of the life cycle for virtual commissioning of automation applications.

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