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Auflistung nach Autor:in "Frerichs, Marc"

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  • Konferenzbeitrag
    Decision-Making About Federated Digital Twins – How to Distribute Information Storage and Computing
    (Modellierung 2022, 2022) Bonorden, Leif; Frerichs, Marc; Riebisch, Matthias; von Riegen, Stephanie; Hartke, Florian; Herzog, Rainer; Hotz, Lothar; Jürgensen, Dennis; Kiele-Dunsche, Markus; Schottler, Seeko; Schroeder, Rafael
    Digital Twins are commonly used as virtual representations of physical objects in manufacturing industries. Information for Digital Twins may be collected from multiple sources and stored in a distributed manner, leading to a Federated Digital Twin. Since decisions about such a federation are crucial for the system and its architecture, they should be guided by reliable and well-evaluated methods. However, current research is focused on distributed data sources but is missing decisions about the distribution of the digital twin itself. We present an approach to partition Federated Digital Twins by classifying information types, computing resources, and concerns of data suppliers. Furthermore, we show how decisions are made based on the Decision Model and Notation standard and evaluate the approach using an industrial case study.
  • Konferenzbeitrag
    Modeling the Enterprise Digital Twin: Towards an Open Platform for Analytics & Compliance Operations
    (Modellierung 2022, 2022) Frerichs, Marc; Nüttgens, Markus
    With its origins in the manufacturing and production sector, the concept of the Digital Twin has now become firmly established. Companies are increasingly relying on the potential advantages of operating a digital representation of their corporate structure with the Digital Twin of an Organization. This is done by incorporating relevant dynamic and operational data on the slower-changing structural data of traditional business. This paper deals with the question of how a digital twin can be designed and actually implemented, particularly taking into account data and processes extracted from business information systems. A real, implemented use case is used to show how operational decision-making can be supported by a digital twin and what role the concept of Hybrid Intelligence plays in this context. The findings of this work are the basis for an open platform for business analytics and resulting (semi-)automated actions, e.g., for implementation of compliance operations such as double payment analysis.