Model-Based Systems Engineering with SysML for Reliable Systems Design

Insight ◽  
2011 ◽  
Vol 14 (4) ◽  
pp. 18-20
Author(s):  
Robin Cressent ◽  
Vincent Idasiak ◽  
Frederic Kratz
Keyword(s):  
Systems Engineering ◽  
Systems Design ◽  
Model Based ◽  
Reliable Systems ◽  
Model Based Systems Engineering

Safety critical systems design for civil aircrafts by model based systems engineering

2018 ◽  
Vol 48 (3) ◽  
pp. 299-311
Author(s):  
ShaoJie ZHANG ◽  
ZhengQiang LI ◽  
XiaoHang HAI ◽  
XingHua LIU ◽  
Liang ZHU
Keyword(s):  
Systems Engineering ◽  
Systems Design ◽  
Critical Systems ◽  
Safety Critical ◽  
Model Based ◽  
Safety Critical Systems ◽  
Model Based Systems Engineering

Overview of Architecture Frameworks and Modeling Languages for Model-Based Systems Engineering

2011 ◽  
Author(s):  
Axel Reichwein ◽  
Christiaan J. J. Paredis
Keyword(s):  
Systems Engineering ◽  
Systems Design ◽  
Modeling Languages ◽  
Future Trends ◽  
Model Based ◽  
Architecture Frameworks ◽  
Model Based Systems Engineering

Model-based systems engineering is a relatively new discipline. As a result, many system designers are not familiar with the main concepts of model-based systems engineering and how it can beneficially impact systems design. The paper presents an overview of architecture frameworks and modeling languages for model-based systems engineering as well as indicates future trends.

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

scholarly journals An Approach to Complement Model-Based Vehicle Development by Implementing Future Scenarios

2021 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Christian Raulf ◽  
Moritz Proff ◽  
Tobias Huth ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Holistic Approach ◽  
Future Scenarios ◽  
Worst Case ◽  
System Architectures ◽  
Vehicle Development ◽  
Model Based ◽  
Scenario Technique ◽  
Stakeholder Needs ◽  
Model Based Systems Engineering

Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the fast-changing trends and requirements, it is necessary to implement future scenarios in the system model. For this purpose, a method is proposed that enables the consideration of future scenarios in model-based vehicle development. The procedure of the method is presented, and the location of the future scenarios within the system architectures is named. The method is applied and the resulting system views are derived based on the application example of an autonomous people mover. With the help of the described method, it is possible to show the effects of a change of scenario (e.g., best-case and worst-case) and the connections with the highest level of requirements: stakeholder needs.

Implementation Strategy for Seamless Model-based Systems Engineering

ATZ worldwide ◽  
2021 ◽  
Vol 123 (7-8) ◽  
pp. 66-71
Author(s):  
Thorsten Weyer ◽  
Marcel Goger ◽  
Walter Koch ◽  
Birgit Kremer
Keyword(s):  
Systems Engineering ◽  
Implementation Strategy ◽  
Model Based ◽  
Model Based Systems Engineering
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