Beitrag in einem Tagungsband
Einsatz von Process-Mining zur Verifikation und Validierung von Simulationsmodellen in Produktion und Logistik
Details zur Publikation
Autor(inn)en: | Özkul, F.; Sutherland, R.; Wenzel, S.; Spieckermann, S. |
Herausgeber: | Bergmann, Sören; Feldkamp, Niclas; Souren, Rainer; Straßburger, Steffen |
Verlag: | Universitätsverlag Ilmenau |
Verlagsort / Veröffentlichungsort: | Ilmenau |
Publikationsjahr: | 2023 |
Seitenbereich: | 463-472 |
Buchtitel: | Simulation in Produktion und Logistik 2023 |
Titel der Buchreihe: | Simulation in Produktion und Logistik |
Bandnr.: | 20 |
DOI-Link der Erstveröffentlichung: |
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&Vcriteria. Subsequently, the paper describes how a real system can be related to the
behaviour of a simulation model and presents two scenarios for process miningsupported V&V using a reference example.
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