Model Based Systems Engineering Concepts

Bajzek, Matthias; Fritz, Johannes; Hick, Hannes; Maletz, Michael; Faustmann, Clemens; Stieglbauer, Gerald

doi:10.1007/978-3-319-68847-3_8-2

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…The most common are: the object-oriented systems engineering methodology (OOSEM) by Walden et al [43], the model-based systems engineering methodology by Long and Scott [44], the systems modelling process (SYSMOD) by Weilkiens [45], the harmony SE by IBM [46], object-process methodology (OPM) by Dori [47] and the ARCADIA methodology by Thales [48]. A more comprehensive list can be found in [49]. Since every MBSE methodology has advantages and drawbacks, it is vital to select the one that is most suited to the given task.…”

Section: The Arcadia Methodsmentioning

confidence: 99%

Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, Under Consideration of Technical and Logistical Aspects

2022

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Section: The Arcadia Methodsmentioning

confidence: 99%

Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, Under Consideration of Technical and Logistical Aspects

2022

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“…As model-based systems engineering has three main characteristics (model-based consistency, creation and use of system models, and common but distributed repository (Bajzek et al 2020)), there is a need to coordinate and manage all the models during the development process, on one hand to avoid unnecessary work and on the other hand to generate better statements about the system in a shorter time. To conclude this section, the required management of models should include the definition of the most important model characteristics: Purpose, required statements, necessary level of detail, etc.…”

Section: Problem Statementmentioning

confidence: 99%

“…The use of descriptive system models provides several benefits such as: Base for discussion with the development team and other stakeholders, common view on the system, higher maturity in early phases, etc. (Friedenthal and Moore 2012), (Bajzek et al 2020) The interdisciplinary creation of such a system model requires a lot of time and resources in order to realize these benefits. During the creation of a system architecture, early verification and validation is typically performed to evaluate and optimize the system architecture.…”

Section: Approachmentioning

confidence: 99%

A concept for a digital thread based on the connection of system models and specific models

Bajzek

Faustmann

Krems

et al. 2021

INCOSE International Symp

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This paper describes the concept of a method that uses an existing system model, that describes the system's functions, to select the most suitable models for development. The term model is understood to encompass models used during the development of systems that: have a certain degree of formalism, are digitizable, connectable and processable. The method describes how specific models that are required can be identified and how they could be connected. The method concept is explained using a well‐understood example taken from the development of automotive powertrains. After stating current challenges and problems in the development of complex systems in the automotive domain, a system cube is used as a structuring principle for models that describe certain system aspects such as structure and behavior. This concept acts as a starting point for the selection of the most suitable specific models allocated to system models based on the functional description of the considered system. Finally, the contribution of this research to the realization of a digital thread is discussed and future research topics are outlined.

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“…The principle of maximum efficiency of the system states that there is always a function of the value of the system as a dependence of its efficiency on the conditions of construction and operation, and this function has an extremum. For the power industry, this principle can be considered as a minimum loss and the minimum cost of electricity, provided the reliability of electricity supply [30,31].…”

Section: Principles Of System Analysismentioning

confidence: 99%

System Aspects of Scientific Researches in Power Engineering

Zbіtnieva¹,

Okhrimenko

Nosenko

2021

LEPE

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Methodology of systems analysis has received wide practical application as widespread universal methodology of scientific researches. Its effectiveness is shown in both researches and elaboration of complex objects with large number of connections between structural components, and in process of student learning, especially in higher education system. Features of use of basic principles of system analysis for decision of problems of modeling of objects of power engineering, in particular their representation in disciplines of electric specialties are considered. Examples of definition of categories of systems theory (super system, system, subsystem, element, process) which improve students' understanding of essence of modeling in electro energetic are represented. Importance of consideration of relationships between components of system model, possibility of change of efficiency of functioning ofsystem, and even its functions, when change both components of system and relationships between them are explained. Definition of components of model of type “black box”and sequence of complication of structural model are considered on example of system “Power engineering”. Possible variants of structural models at steps of detailing, their dependence on purpose of research or discipline studied by students are shown.

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Model Based Systems Engineering Concepts

Cited by 3 publications

References 5 publications

Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, Under Consideration of Technical and Logistical Aspects

Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, Under Consideration of Technical and Logistical Aspects

A concept for a digital thread based on the connection of system models and specific models

System Aspects of Scientific Researches in Power Engineering

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