Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0

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    Investigation of Material Supply Strategies to Increase Resilience in Matrix Production Systems
    ( 2023-01-03) Schmidtke, Niels ; Rettmann, Alina ; Mohr, Joshua ; Behrendt, Fabian
    In order to design a resilient production system, individual system elements have to be flexible and adapt towards changing requirements. In contrast to the prevailing paradigm that complexity in production systems is reduced by standardisation or cycle production, complexity in resilient production systems offers great potential in terms of adaptiveness, robustness and anticipation. Within production control, matrix production is seen as a resilient and versatile system. Flexible routing between work-stations makes it possible to compensate for failures more quickly in the event of a malfunction, flexible logistics and control processes allow the workstations to be controlled and used in a job-specific manner. In this paper, challenges and operating principles of material supply strategies are investigated that have the biggest influence on the design of resilient processes in matrix production. Using a simulation model and scenarios from the automotive sector, the potentials, requirements and parameters for describing resilience are specified.
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    Hybridization of the Digital Twin - Overcoming Implementation Challenges
    ( 2023-01-03) Scheer, Richard ; Strassburger, Steffen ; Knapp, Marc
    In the context of Industry 4.0 the concept of the Digital Twin has gained significant momentum in industry as well as academia. Researchers have hypothesized a great number of potential benefits of the concept's usage. However, few real-world implementations have been recorded. This paper addresses the most pressing challenges inhibiting the concept's industrial application. It describes the process of the concept's hybridization to achieve a practical implementation strategy: the Hybrid Digital Twin. Subsequently, a prototype is implemented using a presently operational real-world manufacturing system to substantiate the viability of the methodology. Finally, the benefits, remaining issues and future developments of the concept are discussed.
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    Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0
    ( 2023-01-03) Strassburger, Steffen ; Lang, Sebastian ; Galka, Stefan ; Reggelin, Tobias
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    Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments
    ( 2023-01-03) Finke, Christian ; Groth, Michael ; Schumann, Matthias ; Dewitz, Paul ; Gehrke, Jonas ; Marahrens, Tamino
    The increasing requirements for industrial production environments due to customer expectations, the implementation of batch size 1, and further automation of production processes are confronting companies with new challenges. In particular, the emergence of cyber-physical systems is influencing and complicating manufacturing processes by capturing an increasing amount of information within production facilities. Digital twins are an interdisciplinary technology that may solve these issues because they serve to monitor, control, and optimize cyber-physical systems by creating a digital representation of real-world objects. Existing concepts for digital twins usually consider specific and independent objects. This is of limited use for production environments due to a multitude of different machines and associated sensor types. Therefore, we propose a requirements catalog, concept, and prototypical implementation for the hierarchical structuring of digital twins in this paper.