Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
With the increasing complexity of the highly engineered products, Model-based Systems Engineering (MBSE) is proposed to support the complexity management of the product development. As the basic of complexity management, complexity analysis is used to measure the system complexity for system solution trade-offs. Using traditional MBSE approaches, system architectures of product are formalized as MBSE models whose complexity measurement provides cues to quantitative trade-offs. In this paper, an MBSE approach is proposed to support complex analysis using qualitative and quantitative approaches. A GOPPRR approach is first proposed to support MBSE formalisms. Then a complexity measurement formula is used to calculate the structure complexity of the MBSE models. Finally, through a tool-chain developed based on Open Services for Lifecycle Collaboration (OSLC), a visualization tool is used to analyze the system complexity by measuring and visualizing the model complexity. A case study is proposed to evaluate the potentials of this approach for supporting product trade-offs. From the results, the approach enables to calculate complexity of MBSE models and virtualizes the model topologies.
Michael Herzog, Christian Sachse, Adrien Christophe Doerig
Edoardo Charbon, Claudio Bruschini, Emanuele Ripiccini, Andrada Alexandra Muntean
Richard Lee Davis, Engin Walter Bumbacher, Jérôme Guillaume Brender