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Iterative Engineering & MBSE /w True Anomaly, Radiant and Agile Space Industries — [Watch Now →](https://payloadspace.com/webinar/iterative-systems-engineering-is-mbse-the-future-or-just-a-buzzword/)

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[youtube](https://www.youtube.com/watch?v=sr0Q6qSk9zE)

## Summary
The webinar explored the role of Model-Based Systems Engineering (MBSE) in iterative systems engineering, particularly whether MBSE is a passing trend or the future of systems engineering. The discussion focused on how MBSE can support better project integration, improve communication among stakeholders, and facilitate more efficient engineering processes.

## Highlights
— Evolution of MBSE in systems engineering and its integration with traditional approaches
— Challenges in adopting MBSE across industries, particularly in terms of tools and cultural shifts
— Importance of system architecture modeling to enable better decision-making and traceability
— Role of MBSE in enhancing collaboration between systems engineers, stakeholders, and project teams
— MBSE’s impact on improving communication and reducing complexity in large-scale projects
— Discussion on the future of MBSE and whether it can address increasing project complexity

## Key Insights
— The evolution of MBSE highlights its growing importance in modern systems engineering, with particular emphasis on how it can improve project coordination and integration across multiple teams.
— MBSE’s ability to facilitate system architecture modeling supports better decision-making, traceability, and management of complex projects, offering a significant advantage over traditional approaches.
— One of the biggest challenges to MBSE adoption is the cultural shift needed, especially in organizations used to legacy systems. Along with the proper tools, organizational buy-in is crucial.
— MBSE enhances collaboration by improving communication across stakeholders, allowing all parties to visualize and understand project goals and challenges, thus reducing miscommunication and errors.
— While MBSE offers clear advantages, it also faces challenges in terms of wide adoption and whether it will remain a critical tool in the future, especially as project complexity grows.

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