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As new software tools are developed for Model-Based Systems Engineering (MBSE) applications, parallel improvements are needed for Concurrent Engineering teams, since this can be one of the first steps for a model-based approach to build-up on throughout the continuation of the project. One of the main constraints during Concurrent Design (CD) studies is the capability of generating and evaluating a large amount of possible mission architectures without the implication of additional experts or time allocation.

The space industry and allied agencies have long acknowledged the interest and added value of Model-Based System Engineering in expediting the design, development, deployment, and verification of space systems. The definition of models and equipment that can serve the diverse objectives of system engineering process has been the focus of numerous initiatives over the past few decades. The next stage is to employ MBSE broadly throughout the system life cycle across disciplines and the supply chain.

Main achievement: Development of the first blockchain ecosystem for space system engineering, as a global configuration tool that can model the business logic of concurrent design. Addressing the MBSE challenges of  controlling data exchange and traceability across system development and operations lifecycle.

Results: Two use cases have been successfully implemented

The Integrated MBSE Analytics Platform (IMAP) has been developed in the course of the OSIP [OSIP] MBSE campaign’s MBSE2DataLake project. It demonstrates how MBSE data can be downstreamed from early phases and integrated with Telemetry data or system operations data. Applying MachineLearning analytics and customized visualization on these sets of integrated data provides seamless analysis capabilities and data browsing experience for the user. The approach leads to linking the former separated domains of System Design and AIT/Operations.