model-based systems engineering (MBSE) is becoming increasingly popular, not only in research but also in industrial companies. However, MBSE approaches (i.e. methods, frameworks, ontologies, and tools) are usually de...
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model-based systems engineering (MBSE) is becoming increasingly popular, not only in research but also in industrial companies. However, MBSE approaches (i.e. methods, frameworks, ontologies, and tools) are usually developed at a scientific level, so that they are too generic and formal for a company's internal use leading to acceptance issues in industrial practice. Against this background, this contribution presents a comprehensive user-oriented MBSE methodology tackling this lack of acceptance in industrial practice. based on ten previously derived fields of action for individual and organizational acceptance of MBSE approaches, a first positive evaluation of the MBSE methodology has been received. In this contribution, a further developed MBSE methodology is presented, which is created in cooperation of partners from research and industry. Assessment of this further developed MBSE methodology with six companies across different industries shows a positive impact on acceptance in comparison to existing MBSE approaches across the identified fields of action. Major improvements are seen regarding the perceived performance and benefit of MBSE, the usability of the modeling tool, and the communication within a development team. Smaller improvements are noted regarding the establishment of a clear target picture and modeling process, as well as in tackling ambiguity when modeling in a development team. In addition, research at one of the industrial partners shows that company-specific tailoring and implementation of the developed MBSE methodology can be performed in a fast and straightforward way.
ABSTRACTABSTRACTEnterprise systemsmodelling requires integrated views of both technical systems as well as organisational systems that together will deliver the anticipated capabilities. A major challenge in such mod...
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ABSTRACTABSTRACTEnterprise systemsmodelling requires integrated views of both technical systems as well as organisational systems that together will deliver the anticipated capabilities. A major challenge in such modelling is the expression of ‘soft’ or human aspects of the organisation where measures seem intangible, behaviour unpredictable or constrained to ad-hoc, qualitative assessment. In particular, although most businesses are concerned with managing organisational culture, how can these cultures be modelled in a manner that enables it to be integrated with the holistic enterprise system model in order to drive assessments and yield insight for managers? Initial modelling efforts showed that many aspects of organisational culture could be modelled and integrated successfully within wider enterprise systemsmodelling. This paper describes a model-based systems engineering approach to the development of organisational culture models and demonstrates how changes made to the integrated enterprise model may yield insight into how organisational culture will need to evolve as enterprise systems transform.
model-based systems engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the te...
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model-based systems engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.
Traceability allows product developers to know more about the logical relationships in model-based systems engineering. Despite the known advantages, traceability is still not established as a standard in product deve...
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Traceability allows product developers to know more about the logical relationships in model-based systems engineering. Despite the known advantages, traceability is still not established as a standard in product development. High amount of necessary work force for traceability creation counts as one of the major obstacles against traceability. In this work, we investigate the applicability of transitivity rule to automate the creation of traceability. The conducted experiment shows, that automated traceability creation with transitivity rule is possible, however, wrong tracelinks are still inevitable.
The system development process is becoming increasingly complex as the systems themselves become more and more complex. At the same time, the various disciplines such as mechanical engineering, electrical engineering ...
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The system development process is becoming increasingly complex as the systems themselves become more and more complex. At the same time, the various disciplines such as mechanical engineering, electrical engineering and software engineering are becoming increasingly intermixed, so that companies in one discipline are experiencing leaps and bounds in the complexity of their systems and their development. For this reason, this publication presents a concept of a virtual assistant that leads through a development phase. It shows that the software supporting the development needs an information model to store the data of the developed system and to connect it with the existing knowledge. This knowledge can either be available internally or on the web. The development process should therefore support cooperation so that the assistance software and engineers interact with each other.
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...
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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 systemsengineering and aims the identification of new research directions coming along with SysML v2 and the advanced systemsengineering methods.
The article discusses the application of model-based systems engineering in software development. MBSE offers a new model-based approach to viewing complex systems, allowing data and information to be effectively shar...
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The article discusses the application of model-based systems engineering in software development. MBSE offers a new model-based approach to viewing complex systems, allowing data and information to be effectively shared across different product life cycle stages. The paper examines the model-based systems engineering methodology, its benefits, and its impact on requirements, design, analysis, and verification within the product life cycle. The study highlights the relevance of using model-based systems engineering to modern systemsengineering practices, especially in the context of software engineering. The study results demonstrate the benefits of model-based systems engineering and its ability to optimize development processes, improve product quality, and reduce delivery times. The scientific novelty of the article lies in the application and research of the model-based systems engineering in the context of software development, which represents a significant contribution to the development of modern systemsengineering practices and development technologies.
model-based systems engineering is a methodology for the interdisciplinary system development using different domain models. Considering the intended system’s environment and context of usage in early design phases i...
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model-based systems engineering is a methodology for the interdisciplinary system development using different domain models. Considering the intended system’s environment and context of usage in early design phases is a way of bridging the gap from system’s design to its real-life applicability. Simulations represent a possible approach to consider different constellations but are effortful. Therefore, we present a generic environment modeling approach to evaluate different environmental models with their respective environmental, user and system’s impact based on generated system variants derived from system requirements. In this sequential process, we consistently link and evaluate system variants to possible system contexts.
The increasing complexity of mechatronic systems results in a challenging development process. In an interdisciplinary design environment, the communication and cooperation between the disciplines is necessary to esta...
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The increasing complexity of mechatronic systems results in a challenging development process. In an interdisciplinary design environment, the communication and cooperation between the disciplines is necessary to establish a basis for efficient and effective product development. The approach of MBSE focuses on this aspect by means of an abstract description of the system structure. The system structure is created and read by different persons. It is crucial that these semi-formal models, considered by very different stakeholders, are build up comparably and exhaustively. Nowadays there is no way to check the model of exhaustiveness. We classified model elements and derived modeling guidelines enabling the model-user to create comparable and exhaustive system structures.
An observed increase in systems scale and complexity has led to a significant momentum in exploring, identifying, and adopting modelbasedsystemsengineering (MBSE) tools and techniques amongst research communities a...
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An observed increase in systems scale and complexity has led to a significant momentum in exploring, identifying, and adopting modelbasedsystemsengineering (MBSE) tools and techniques amongst research communities and industry practitioners. Several attempts to transform systems design and engineering practices through the use of MBSE in academia and industry has led to a considerable increase in the number of articles published containing the keyword "MBSE." This growth serves as the motivation in this paper to explore the MBSE landscape with the help of text mining techniques to identify the most often used key terms, tools, and languages, in the context of research in MBSE and the thematic aspects defining the use of MBSE by researchers and practitioners. The objective of this paper is to provide a structured comprehensive overview of research contributions across the MBSE landscape by employing text mining techniques for: (a) identifying the concepts and methodologies inferred upon in relation to MBSE, and (b) classifying the literature published to identify commonalities across academic researchers and practitioners using MBSE tools and methods. For this purpose, the abstracts of 2380 relevant articles published in the period of the last two decades from five different databases are mined. It is found that the terms "SysML," "Cyber Physical systems," and "Production" are the most used terms among researchers across the MBSE landscape with SysML being the most widely used modeling language. Further, six major thematic topics are identified that classify articles from over the last two decades with an increasing interest observed in the use of MBSE to support manufacturing and production engineering activities, especially in the cyber physical systems domain. The contributions of this paper provide a leeway on using text mining techniques to understand the research directions that are currently of interest in the field of MBSE and thereby identify potential fut
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