13:30 Uhr
Einsatz von Process-Mining zur Verifikation und Validierung von Simulationsmodellen in Produktion und Logistik
Felix Özkul | Universität Kassel
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Autor:innen:
Felix Özkul | Universität Kassel
Robin Sutherland | University of Kassel
Sigrid Wenzel | Universität Kassel
Sven Spieckermann | SimPlan AG
Verification and validation (V&V) are imperative to ensure the success of a simulation study but are often insufficiently considered in practice due to the effort associated with V&V-activities. This contribution discusses the application of process mining techniques to check the validity of discrete event simulation models in production and logistics. For this purpose, we present a morphological box which highlights the scope of process mining in the context of V&V for simulation models and distinguishes between different V&V items, aspects of validity, and V&V-criteria. Subsequently, the paper describes how a real system can be related to the behaviour of a simulation model and presents two scenarios for process mining-supported V&V using a reference example.
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14:00 Uhr
Automatisierungspotenzial von Verifikations- und Validierungstechniken in der ereignisdiskreten Simulation
Katharina Langenbach | TU Dortmund
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Autor:innen:
Katharina Langenbach | TU Dortmund
Anne Antonia Scheidler | TU Dortmund
Markus Rabe | TU Dortmund
Simulation is a proven method in industry and research to constitute the basis for further decisions. Therefore, the credibility of its results is of major importance. Generally, simulation studies are guided by procedure models comprised of several phases with specific results. To assess the credibility, verification and validation (V&V) is used by applying V&V techniques to these phase results, which requires significant effort. One way to reduce this effort and support simulation users is to automate V&V. For this purpose, the notions of automation must be transferred to the domain of V&V in order to assess the automatability of V&V techniques. The effort for application of V&V techniques can be reduced while keeping or increasing the credibility of simulation.
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