A Classification Method for the Systematic Identification of Models and Workflows in MBSE
DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)
Year: 2022
Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author: Gregor Hoepfner (1), Julia Kowalski (2), Clemens Faustmann (3), Thilo Zerwas (1), Philipp Kranabitl (3), Seyedmohammad Vafaei (1), Georg Jacobs (1), Hannes Hick (3)
Series: DfX
Institution: (1) Institute for Machine Elements and Systems Engineering, RWTH Aachen University; (2) Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University; (3) Institute of Machine Components and Methods of Development, TU Graz
Page(s): 10
DOI number: 10.35199/dfx2022.17
Abstract
Modern engineering uses models for virtual verification of systems. Such models are usually combined in workflows, where the results of models are linked to verify system requirements. Model-Based Systems Engineering (MBSE) has evolved as an approach to ease the usage of models and workflows. One goal in MBSE is to reuse models and workflows from libraries. However, the step of identifying and classifying both models and workflows for such a library is not yet systematized. We propose a method on how to identify models and workflows for an MBSE model library. Possible purposes of models are identified and afterwards models satisfying that purpose are retrieved. The identified models are systematically combined to workflows. Thereby a systematic approach to create a model library is given.
Keywords: MBSE, Model Libraries, Model Classification, Workflows