This article presents a case study on applying model-based systems engineering (MBSE) methodologies under real-life conditions. We present how engineers tailored existing MBSE methods and tools to both address the complexity factors of nuclear power plants engineering, and to contribute to the comprehensiveness of the design and safety assessment. We also provide feedback on the application of MBSE approaches and their key benefits on projects' execution.
Model‐based systems engineering has developed significantly over the last few years, resulting in an increased usage of models in systems specification and architecture description. The question of the positioning of requirement engineering versus MBSE is a recurrent one. This paper describes one vision of this articulation where textual and model requirements actually complete each other. The results are improved contracts across engineering levels and more formalized verification and validation practices.
Complex systems engineering programs not only deal with the inherent complexity of the systems they develop, they also face shorter time‐to‐market, increasing changes in environments and usages, and more sophisticated industrial schemes. The ability to adapt to new circumstances, or agility, becomes mandatory. In this paper we present how Model‐Based Systems Engineering (MBSE) approaches can be enablers of the implementation of agility in complex systems engineering programs. Known to provide additional engineering rigor and quality, MBSE also brings key concepts favoring agility and co‐engineering.
Pushed to the edge of their capabilities in a highly competitive world market, organizations everywhere look for efficient means to innovate and develop their products and services. This paper proposes and illustrates a holistic integration of Product Line Engineering (PLE) and Model‐Based Systems Engineering (MBSE) to connect and align market and business analysis, architecting, design, and engineering. This value‐driven, integrated approach capitalizes on MBSE best practices to tackle the concrete challenges of product line engineering.
Systems architecture design is a key activity that affect the overall systems engineering cost. Hence it is fundamental to ensure that the system architecture reaches a proper quality. In this paper, we leverage on MBSE approaches and complement them with simulation techniques, as a promising way to improve the quality of the system architecture definition, and to come up with innovative solutions while securing the systems engineering process.
This paper presents a method to perform the architecture definition and design of Nuclear Power Plants (NPP) systems. This method is based on the viewpoints concept and on an existing Model‐Based Systems Engineering (MBSE) approach that was tailored to address the complexity factors of NPP engineering, progressively guarantee the comprehensiveness of the design and facilitate the safety assessment. This paper also provides an illustration of how this method was applied to define the architecture of a Nuclear Island system, provides valuable findings for the designer organization regarding the deployment of MBSE approaches and presents their key benefits and future improvement actions.
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