Publisher DOI: 10.1109/SOSE55472.2022.9812634
Title: Towards a System of Systems Engineering Architecture Framework
Language: English
Authors: Mandel, Constantin 
Guenther, Matthias 
Martin, Alex 
Windisch, Emily 
Bursac, Nikola 
Rapp, Simon 
Anacker, Harald 
Albers, Albert 
Keywords: ASE; MBSE; Ontology; PGE; Viewpoints
Issue Date: Jun-2022
Source: 17th Annual System of Systems Engineering Conference (SOSE 2022)
Abstract (english): 
Model-based approaches such as Model-Based Systems Engineering (MBSE) are widely regarded as a necessity to enable and support the development of ever more complex Systems of Systems (SoS). A key to the application of model-based development approaches in companies is the introduction of systems engineering architecture frameworks (SEAF) to structure the models of systems to be developed. This paper displays the research to develop a SEAF for SoS. Through workshops and interviews with 18 partners from industry and research, we derived perspectives to be considered for describing and modeling SoS. By analyzing existing SEAFs from literature we concluded, that not all perspectives we identified as relevant are covered by a single framework. Based on our research, especially the explicit consideration of SoS characteristics such as autonomy and interdependence, the integrated consideration of product, production system and validation system development, as well as consideration of different product generations and (re-)use of models appears to be not profoundly addressed. Advancing the state of research, we therefore propose a six-dimensional SoS engineering architecture framework to cover all perspectives we identified as relevant. The proposed framework can further serve as a reference for developers to derive and build specific frameworks tailored to their needs while at the same time supporting consistency, reusability and compatibility of the specific frameworks. The presented framework is an initial proposition which continuously being used and evaluated by its application to structure modeling for a variety of real systems from different industries. Insights from the application are fed back for its further development.
Conference: 17th Annual System of Systems Engineering Conference, SOSE 2022 
URI: http://hdl.handle.net/11420/13500
ISBN: 978-166549623-0
Institute: Smarte Maschinenelemente M-19 
Document Type: Chapter/Article (Proceedings)
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