Siemens & :em engineering methods AG Systems Engineering Roadshow Koblenz

Roadshow on modern methods, tools, and best practices in Systems Engineering.

May 4th. 2026 | Siemens Office, Anton-Jordan-Straße 3, 56070 Koblenz, Germany

The joint Systems Engineering Roadshow by Siemens and :em engineering methods AG demonstrates how companies can successfully shape their Digital Engineering Transformation. Along the entire system lifecycle, participants will experience modern approaches such as integrated Requirements Engineering, system architectures with SysML v1, the next generation of model-based development with SysML v2, and end-to-end traceability. Exclusive insights into Siemens' SysML v2 roadmap and concrete AI use cases round off the program. The Roadshow offers an ideal platform for exchange, best practices, and practical impulses to future-proof engineering organizations.

Two colleagues, a woman and a man, collaborate looking at a laptop in a modern office, with a large teal and blue double arrow siemens graphic in the background.

Agenda along the system lifecycle – from Requirements and Architecture to SysML v2, Traceability & AI

  • Arrival & Networking (from 09:30)

    • Exchange with users and interested parties
    • Networking on Siemens solutions and :em methods
  • Systems Engineering as a Key Factor (10:00)

    • Overview of technologies & capabilities for Digital Engineering
    • Potential benefits of a consistent SE approach
  • Requirements Engineering (10:30)

    • Best practices for elicitation, documentation & reuse
    • Efficient requirements management in practice
  • System Architectures with SysML v1 (11:30)

    • Examples from industrial projects
    • Added value of architecture modeling for collaboration
  • System Architectures with SysML v2 (13:30)

    • Innovations & differences from SysML v1
    • Insight into the Siemens editor & roadmap
  • Interdisciplinary Traceability (14:00)

    • Benefits along the entire system lifecycle
    • Positive effects on collaboration & development quality
  • AI in Systems Engineering (15:00)

    • Understanding GenAI/ML/AI
    • Exemplary AI use cases in the engineering environment

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