Wissensentdeckung und Robustheitsanalyse für Simulationsmodelle weltweiter Netze(Knowledge Discovery and Robustness Analysis for Simulation Models of Global Networks)

Immer komplexere Netzwerke durchdringen verschiedenste Bereiche des täglichen Lebens. Durch die enge Verzahnung in den Netzwerken und die resultierenden Beziehungen der einzelnen Entitäten im Netz entstehen neben den gewünschten positiven Effekten auch systemische Risiken. Ein proaktives Vorgehen, welches es erlaubt, systemische Risiken im Vorhinein zumindest zu erkennen und ggf. zu vermeiden bzw. zumindest die negativen Auswirkungen einzudämmen ist wünschenswert. Ein möglicher Ansatz ist es, das Netzwerk bzgl. Störungen und Umwelteinflüssen möglichst robust zu gestalten. In diesen Beitrag werden die Grundlagen einer auf Data Farming basierenden Methode zur Robustheitsanalyse im Kontext der Produktion vorgestellt. Im Anschluss werden die Herausforderungen diskutiert, die bei der Adaption der Methode auf komplexe weltweite Netze auftreten.

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