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A role-based Metric to determine the Quality of Simulation Models

Barth, Mike ORCID iD icon 1; Ristic, Mirjana; Jäkel, Jens
1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)

Abstract:

With the progressive development of digital twins, simulation models are becoming increasingly important. They are already a central artefact in the entire systems engineering and are becoming an substantial part of the delivery, either a virtual or a real product, itself. In contrast to physical components, whose quality requirements are defined very precisely in terms of detailed specifications, this is rarely the case with simulation models. On the one hand, this is due to the novelty of simulation models as an independent good and, on the other hand, to the fact that there are no comprehensively defined quality criteria for simulation models. The authors address this problem and present a role-based metric for objectively determining the quality of simulation models. In addition to the quality-relevant attributes, a role concept is presented that enables the seamless application of the metric. The objective is for the quality level to be specified on a transparent and measurable basis and can thus become part of the business in automation technology.


Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 979-8-3503-3991-8
ISSN: 1946-0759
KITopen-ID: 1000159564
Erschienen in 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
Veranstaltung 28th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023), Sinaia, Romania, 12.09.2023 – 15.09.2023
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1-8
Serie Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation)
Vorab online veröffentlicht am 12.10.2023
Schlagwörter simulation models, quality metric, roles, usecases, engineering lifecycle
Nachgewiesen in Scopus
Dimensions
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