18 August 2016 Model-based system engineering approach for the Euclid mission to manage scientific and technical complexity
Author Affiliations +
In the last years, the system engineering field is coming to terms with a paradigm change in the approach for complexity management. Different strategies have been proposed to cope with highly interrelated systems, system of systems and collaborative system engineering have been proposed and a significant effort is being invested into standardization and ontology definition. In particular, Model Based System Engineering (MBSE) intends to introduce methodologies for a systematic system definition, development, validation, deployment, operation and decommission, based on logical and visual relationship mapping, rather than traditional 'document based' information management.

The practical implementation in real large-scale projects is not uniform across fields. In space science missions, the usage has been limited to subsystems or sample projects with modeling being performed 'a-posteriori' in many instances. The main hurdle for the introduction of MBSE practices in new projects is still the difficulty to demonstrate their added value to a project and whether their benefit is commensurate with the level of effort required to put them in place.

In this paper we present the implemented Euclid system modeling activities, and an analysis of the benefits and limitations identified to support in particular requirement break-down and allocation, and verification planning at mission level.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Lorenzo Alvarez, Jose Lorenzo Alvarez, Harold Metselaar, Harold Metselaar, Jerome Amiaux, Jerome Amiaux, Gonzalo Saavedra Criado, Gonzalo Saavedra Criado, Luis M. Gaspar Venancio, Luis M. Gaspar Venancio, Jean-Christophe Salvignol, Jean-Christophe Salvignol, René J. Laureijs, René J. Laureijs, Roland Vavrek, Roland Vavrek, "Model-based system engineering approach for the Euclid mission to manage scientific and technical complexity", Proc. SPIE 9911, Modeling, Systems Engineering, and Project Management for Astronomy VI, 99110C (18 August 2016); doi: 10.1117/12.2231373; https://doi.org/10.1117/12.2231373


Back to Top