Advancing an MBSE Method with SysML v2

Complex development of military aircraft – Experiences and the value of MBSE

In this talk, Annika Meijer-Henriksson, Head of Design Gripen, shares her experiences from 25 years in the development of military aircraft with a focus on the challenges and opportunities that complex development entails. The talk highlights why Model-Based-System Engineering (MBSE) is an effective method for managing complexity in the development process. Through examples and insights, it is shown how MBSE has contributed to improved system integration, clearer communication and faster decision-making in critical projects. At the same time, pitfalls that arise when implementing MBSE are highlighted, such as insufficient training, lack of tool adaptation and difficulties in getting the entire organization to fully adopt new methodology.

With a balance between positive experiences and challenges, the talk provides a realistic picture of how MBSE can be usedto drive innovation and efficiency in the development of future military aircraft.

Integrated Systems Design for the Industrial Space Age

Untying the Gordian Knot: How to implement MBSE successfully

Systems engineering as a transdisciplinary approach to the development of technical systems has become indispensable in industries such as e.g. aerospace and defense. At the same time, it can be observed that its model-based evolutionary stage called MBSE regularly fails in introductory projects, its adoption by employees is weak or MBSE only establishes itself as a niche topic.

The Systems Thinking, on which systems engineering is based, is a core competence in companies which, in the context of the current industrial challenges, every employee should basically master, but all too rarely does today. For many companies today, however, rolling out MBSE across an entire company and thereby leveraging its extensive added value seems like a Gordian Knot.

This keynote highlights an approach to successfully implement MBSE as one of the key business capabilities of Digital Enterprises and at the same time illustrates how to establish System Thinking as a core competence across the workforce. It will start by highlighting common mistakes made in MBSE implementation initiatives. A five-dimensional view on the realization of business capabilities is introduced and exemplified using the MBSE business capability. This illustrates how MBSE can be successfully introduced, established and practiced in companies. The presentation concludes with a look at the interfaces between MBSE and related methods and core technologies as well as an outlook on how further added value could be achieved in their interaction in the future.

Advancing Multidisciplinary Space System Design: From Tool-Centric to Data-Driven Approaches

Modern space system design increasingly relies on model-based systems engineering (MBSE) to facilitate cross-domain collaboration through unified system models. However, the global shift to service-based, distributed cloud ecosystems is driving a transition from tool-centric workflows to decentralized, data-driven methodologies. This evolution amplifies the need for robust interoperability and challenges the traditional concept of a centralized “single source of truth”. This talk will delve into the role of model-based methodologies in the evolving landscape of space system design, examining pressing challenges such as the integration of distributed service frameworks, maintaining coherence across interconnected platforms, and addressing emerging priorities such as sustainability, cybersecurity, and the transformative potential of artificial intelligence.

Is MBSE stuck in a niche? How AI could drive adoption!

Michael is passionate about complex product development. Beginning his career in software development, he quickly transitioned to software and systems architecture, recognizing modeling as essential for managing complexity. As the founder of Formal Mind, he helps clients navigate the challenges of digital transformation. Long before the GenAI hype, he was applying AI to product development. He also authors the long-running SE-Trends newsletter, now in its tenth year.

MBSE & Digital Twin: From Model to Reality End-to-End

The automotive industry is embracing virtual validation to address the challenge of reducing development times while managing new technologies. Virtual validation uses digital models, or “digital twins,” to simulate and test systems and components—like engines and electronics—before physical prototypes are built, cutting both costs and time. This method demands extensive data and technical expertise to create accurate simulations and requires interdisciplinary collaboration across mechanics, electronics, and software. Current challenges include the lack of standardized procedures for efficient and reproducible digital twins build up & operation. Model-Based Systems Engineering (MBSE) & DevOps supports virtual validation by linking requirements to simulation, enhancing traceability and alignment with real product development. The virtual validation of powertrain components represents a key technology to meet the increasing demands of modern automotive development, offering a clear advantage through faster market readiness, lower costs, and improved product quality.