In this episode, Michael and Christian take a deep dive into the diverse technical foundations that inspire the ongoing development of their SaaS DTS (Digital Thread System) product. The conversation weaves through a range of influential methodologies and frameworks, starting with Model-Based Systems Engineering (MBSE), SysML, and KerML—key enablers for structured, scalable system modeling. They explore the advantages of Product Line Engineering (PLE) for managing variation across complex product families and draw parallels to Git’s distributed version control concepts, which offer valuable insights into traceability and collaboration.
The episode also discusses how a microservices architecture underpins their product’s flexibility and maintainability, enabling rapid iteration and clear service boundaries. While the prostep ivip final research project report from the 2000s and the CM-II configuration management standard are only briefly referenced, they serve as historical markers in the evolution of PLM thinking. Artificial Intelligence (AI) is acknowledged as a vast and promising field—though only briefly touched upon—hinting at future capabilities yet to be explored in another episode.
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