Leveraging Sysml V2 to Enhance System Architecture Decision-Making Based on Process Information

This study investigates how the coupling of SysML 2.0 with a process management and execution platform supports the decision-making process in model-based systems engineering (MBSE). Based on the textual notation of SysML 2.0, a bidirectional real time data exchange of process and system information is proposed to effectively link different engineering processes (in BPMN) to associated system components (in SysML 2.0). Metadata in the form of the number of processes and number of process steps are integrated into corresponding system structure diagram blocks, enabling an estimation of the total system development, production and assembly expense. Furthermore, System attributes, values and descriptions modelled in SysML 2.0 are distributed into different processes. The proposed framework is implemented in python using the. sysml textual format and various APIs. To set up the linking of system components and processes a graphical user interface is implemented in the form of an interactive event-based traceability matrix. An example of a wind turbine system with its associated development, manufacturing and assembly processes is used to demonstrate and evaluate the proposed framework in expert interviews comprising subjects with systems engineering and process management backgrounds. The usability of the implementation is evaluated using the system usability scale.

Authors

Institutions

Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/syscon64521.2025.11014851
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Sysml V2 to Enhance System Architecture Decision-Making Based on Process Information

Rainer Stark, Anton Dybov, Carl-Philipp Grunenwald
1 citations
Digital Transformation in Industry
1.24
article

Leveraging Sysml V2 to Enhance System Architecture Decision-Making Based on Process Information

Rainer Stark, Anton Dybov, Carl-Philipp Grunenwald
article en
1 citations

Abstract

This study investigates how the coupling of SysML 2.0 with a process management and execution platform supports the decision-making process in model-based systems engineering (MBSE). Based on the textual notation of SysML 2.0, a bidirectional real time data exchange of process and system information is proposed to effectively link different engineering processes (in BPMN) to associated system components (in SysML 2.0). Metadata in the form of the number of processes and number of process steps are integrated into corresponding system structure diagram blocks, enabling an estimation of the total system development, production and assembly expense. Furthermore, System attributes, values and descriptions modelled in SysML 2.0 are distributed into different processes. The proposed framework is implemented in python using the. sysml textual format and various APIs. To set up the linking of system components and processes a graphical user interface is implemented in the form of an interactive event-based traceability matrix. An example of a wind turbine system with its associated development, manufacturing and assembly processes is used to demonstrate and evaluate the proposed framework in expert interviews comprising subjects with systems engineering and process management backgrounds. The usability of the implementation is evaluated using the system usability scale.

Technische Universität Berlin (DE)
Bundesministerium für Bildung und Forschung
Peace, Justice and strong institutions
Openalex Percentile: Top 19%
Digital Transformation in Industry
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.