A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Gregor Höpfner; Julia Kowalski; Clemens Faustmann; Thilo Zerwas; Philipp Kranabitl; Seyedmohammad Vafaei; Georg Jacobs; Hannes Hick

doi:10.35199/dfx2022.17

A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Gregor Höpfner^*, Julia Kowalski, Clemens Faustmann, Thilo Zerwas, Philipp Kranabitl, Seyedmohammad Vafaei, Georg Jacobs, Hannes Hick

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Maschinenelemente und Entwicklungsmethodik (3100)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)
Redakteure/-innen	Dieter Krause, Kristin Paetzold, Sandro Wartzack
Seitenumfang	10
DOIs	https://doi.org/10.35199/dfx2022.17
Publikationsstatus	Veröffentlicht - Okt. 2022
Veranstaltung	33rd Symposium Design for X: DFX 2022 - Hamburg, Deutschland Dauer: 22 Sept. 2022 → 23 Sept. 2022

Konferenz

Konferenz	33rd Symposium Design for X
Kurztitel	DFX 2022
Land/Gebiet	Deutschland
Ort	Hamburg
Zeitraum	22/09/22 → 23/09/22

Fields of Expertise

Sonstiges

Zugriff auf Dokument

10.35199/dfx2022.17

Dieses zitieren

A Classification Method for the Systematic Identification of Models and Workflows in MBSE. / Höpfner, Gregor; Kowalski, Julia; Faustmann, Clemens et al.
DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022). Hrsg. / Dieter Krause; Kristin Paetzold; Sandro Wartzack. 2022.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Höpfner, G, Kowalski, J, Faustmann, C, Zerwas, T, Kranabitl, P, Vafaei, S, Jacobs, G & Hick, H 2022, A Classification Method for the Systematic Identification of Models and Workflows in MBSE. in D Krause, K Paetzold & S Wartzack (Hrsg.), DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022). 33rd Symposium Design for X, Hamburg, Deutschland, 22/09/22. https://doi.org/10.35199/dfx2022.17

@inproceedings{b2680649190b41579fc5bbd63a8df7d2,

title = "A Classification Method for the Systematic Identification of Models and Workflows in MBSE",

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",

author = "Gregor H{\"o}pfner and Julia Kowalski and Clemens Faustmann and Thilo Zerwas and Philipp Kranabitl and Seyedmohammad Vafaei and Georg Jacobs and Hannes Hick",

year = "2022",

month = oct,

doi = "10.35199/dfx2022.17",

language = "English",

editor = "Krause, {Dieter } and Paetzold, {Kristin } and Sandro Wartzack",

booktitle = "DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)",

note = "33rd Symposium Design for X : DFX 2022, DFX 2022 ; Conference date: 22-09-2022 Through 23-09-2022",

}

TY - GEN

T1 - A Classification Method for the Systematic Identification of Models and Workflows in MBSE

AU - Höpfner, Gregor

AU - Kowalski, Julia

AU - Faustmann, Clemens

AU - Zerwas, Thilo

AU - Kranabitl, Philipp

AU - Vafaei, Seyedmohammad

AU - Jacobs, Georg

AU - Hick, Hannes

PY - 2022/10

Y1 - 2022/10

N2 - 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.

AB - 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.

KW - MBSE

KW - Model Libraries

KW - Model Classification

KW - Workflows

U2 - 10.35199/dfx2022.17

DO - 10.35199/dfx2022.17

M3 - Conference paper

BT - DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

A2 - Krause, Dieter

A2 - Paetzold, Kristin

A2 - Wartzack, Sandro

T2 - 33rd Symposium Design for X

Y2 - 22 September 2022 through 23 September 2022

ER -

A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Abstract

Konferenz

Fields of Expertise

Zugriff auf Dokument

Fingerprint

Dieses zitieren