Model Based Systems Engineering Concepts

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

doi:10.1007/978-3-319-99629-5_8

Cited by 4 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

The trend of sharing concepts is constantly increasing, whether this may be for economic or environmental reasons. Consequently, numerous scientific research works have addressed the subject of sharing concepts. Many of these works have dealt with questions on the topic of sharing concepts itself, however, much less research has been dedicated to the question of how the sharing concept can be developed in the very first place. Thus, the purpose of this work was to systematically use systems engineering methods to develop a sharing concept for heavy-duty agricultural vehicles, while having a strong focus on technical and logistical aspects. Due to the multidisciplinary complexity of the sharing concept, a method from the field of model-based systems engineering, ARCADIA, was chosen. On ARCADIA’s top level, operational analysis was carried out to identify the key stakeholders. The next level, systems analysis, showed that the sharing model can be divided into three main processes: (1) data acquisition and preparation; (2) location planning; (3) and route planning. For these main processes, corresponding methods, algorithms and models were sought and compared against each other in the last level, logical analysis. It can be concluded that the ARCADIA method has provided a framework for evaluating the correlations and interrelationships between methods, algorithms and models at different levels to develop a sharing concept for compost turners from a technical perspective.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…The successful integration of MBSE is not restricted on the usage of SysML system models but involves all relevant models throughout the development (Bajzek et al 2021b). Hence, a consistent toolchain is crucial for the application of MBSE (Ma et al 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Utilization of system models in model-based systems engineering: definition, classes and research directions based on a systematic literature review

Wilking,

Horber,

Goetz

et al. 2024

Des. Sci.

View full text Add to dashboard Cite

The use of system models within model-based systems engineering (MBSE) is essential for improved communication or system documentation. Previous publications have investigated further reuse of these system models, for example, transforming them directly into discipline-specific models for reuse. The authors refer to this as the term “Utilization” of system models. It aims the compensation of modelling efforts and a further integration of linked models within MBSE. Motivated by a lack of common understanding of this term, a systematic literature review of the state of the art is presented. With this systematic overview, a definition and classification system for different use cases and system life cycle stages are created. These are key results to support engineers and researchers in adopting existing or discovering new utilization approaches. This supports the mission of advanced systems engineering and aims the identification of new research directions coming along with SysML v2 and the advanced systems engineering methods.

show abstract

“…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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Model Based Systems Engineering Concepts

Cited by 4 publications

References 11 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

Utilization of system models in model-based systems engineering: definition, classes and research directions based on a systematic literature review

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

Contact Info

Product

Resources

About