scholarly journals Domain Specific and Model Based Systems Engineering in the Smart Grid as Prerequesite for Security by Design

Electronics ◽  
2016 ◽  
Vol 5 (4) ◽  
pp. 24 ◽  
Author(s):  
Christian Neureiter ◽  
Dominik Engel ◽  
Mathias Uslar
Keyword(s):  
Smart Grid ◽  
Systems Engineering ◽  
Domain Specific ◽  
Model Based ◽  
Security By Design ◽  
Model Based Systems Engineering

Using Domain Specific Languages to Capture Design Synthesis Knowledge for Model-Based Systems Engineering

2009 ◽  
Author(s):  
Aleksandr A. Kerzhner ◽  
Christiaan J. J. Paredis
Keyword(s):  
Systems Engineering ◽  
Design Synthesis ◽  
System Architectures ◽  
Computer Tools ◽  
Domain Specific ◽  
Model Based ◽  
Functional Specification ◽  
Management Group ◽  
Computational Synthesis ◽  
Model Based Systems Engineering

Design synthesis is a fundamental engineering task that involves the generation of a structural specification from a desired functional specification. Although the use of computer tools is common throughout the design process, design synthesis is often a task left to the designer. Formally capturing design synthesis knowledge in models and applying computational synthesis may result in better exploration of the design space and eliminate repetitive design tasks. In this paper, a graph-based framework for capturing and combining design synthesis knowledge is presented for scenarios involving the composition of well defined components into larger systems. This approach fits in the context of Model-Based Systems Engineering where a variety of formal models are used to represent knowledge about a system. This approach uses the Systems Modeling Language developed by The Object Management Group (OMG SysML™) to define both models of possible components and possible system architectures. The framework is illustrated by combining it with an evolutionary algorithm and applying it to an example problem of hydraulic circuit synthesis.

scholarly journals Towards a Domain-Specific Approach Enabling Tool-Supported Model-Based Systems Engineering of Complex Industrial Internet-of-Things Applications

Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 21
Author(s):  
Christoph Binder ◽  
Christian Neureiter ◽  
Arndt Lüder
Keyword(s):  
Internet Of Things ◽  
Systems Engineering ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Major Change ◽  
Reference Architecture ◽  
Architecture Model ◽  
Domain Specific ◽  
Model Based ◽  
Model Based Systems Engineering

Contemporary manufacturing systems are undergoing a major change promoted by emerging technologies such as Cyber-physical Systems (CPS) or the Internet of Things (IoT). This trend, nowadays widely known by the term “Industry 4.0”, leads to a new kind of automated production. However, the rising number of dynamically interconnected elements in industrial production lines results in such a system being transformed into a complex System of Systems (SoS). Due to the increasing complexity and the challenges accompanied by this change, conventional engineering methods using generic principles reach their limits when developing this type of systems. With varying approaches only trying to find a solution for small-scaled areas of this problem statement, the need for a holistic methodology becomes more and more obvious. Having recognized this issue, one of the most promising approaches has been introduced with the Reference Architecture Model Industry 4.0 (RAMI 4.0). However, in the current point of view, this domain-specific architecture framework is missing specifications to address all aspects of such a critical infrastructure. Thus, this paper introduces a comprehensive modeling approach utilizing methods applied in Model-Based Systems Engineering (MBSE) and including domain-specific particularities as well as architectural concepts with the goal to enable mutual engineering of current and future industrial systems. The resulting artifacts, a domain-specific language (DSL), an architecture definition and a development process, are thereby consolidated in a ready to use software framework, whose applicability was evaluated by a real-world case study.

scholarly journals Using Domain-Specific Models to Facilitate Model-Based Systems-Engineering: Development Process Design Modeling with OPM and PROVE

2021 ◽  
Vol 11 (4) ◽  
pp. 1532
Author(s):  
Avi Shaked ◽  
Yoram Reich
Keyword(s):  
Systems Engineering ◽  
Specific Model ◽  
General Purpose ◽  
Model Quality ◽  
Domain Specific ◽  
Model Based ◽  
Modeling Approach ◽  
Quantitative Metrics ◽  
Domain Specific Modeling ◽  
Model Based Systems Engineering

Model-based Systems Engineering (MBSE) approaches are a step forward in the evolution of computer-aided engineering, and yet, they often incorporate deficiencies that may jeopardize their practical utility and usability, as well as the validity of the resulting models. We demonstrate how a domain-specific modeling approach can relieve some hurdles in adopting MBSE, and how it can be used in tandem with a general-purpose modeling approach to augment and introduce rigor to models. Specifically, we demonstrate the consequences of theoretical issues that were previously identified in Object Process Methodology and suggest an approach to solve them. We use a generalized case-study—derived from extensive process modeling in both academia and industry—to show that a domain-specific model can significantly relax the user’s modeling effort. This demonstration is based on two quantitative metrics: the number of representational elements and available modeling tactics. We discuss the contribution of our approach to model quality, particularly with respect to its rigor and communicability.

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 SAVE: Security & safety by model-based systems engineering on the example of automotive industry

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 187-192
Author(s):  
Sergej Japs ◽  
Harald Anacker ◽  
Roman Dumitrescu
Keyword(s):  
Systems Engineering ◽  
Automotive Industry ◽  
Model Based ◽  
Model Based Systems Engineering

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.

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