Mechatronic systems, combining mechanical, electrical and software technologies, require the collaboration of different engineering disciplines. In this complex interdisciplinary space, the importance of Model-Based Systems Engineering (MBSE) and Product Lifecycle Management (PLM) comes to the fore. MBSE and PLM represent different approaches that are inherently interrelated, within the broad field of product design and development. The integration of these two approaches is crucial for ensuring seamless information exchange and collaboration throughout the entire product lifecycle; it involves connecting different tools, methodologies and data formats. Several challenges hinder the seamless integration of these approaches. These challenges include mismatched data representations, semantic inconsistencies, varying granularity of information and different levels of abstraction. Overcoming these challenges requires a systematic approach where traceability plays a key role in establishing and maintaining connections between data, ensuring consistency of information throughout the product lifecycle. By highlighting the importance of traceability on a vending machine use-case, this paper contributes to the evolving discourse on effective methodologies for harmonizing different engineering practices in the development of mechatronic systems.

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Overview of MBSE and PLM Integration from a Traceability Perspective: A Mechatronic Case Study

  • Yana Brovar,
  • Jöran Frey,
  • Sophia Salas Cordero,
  • Dominik Knoll,
  • Clément Fortin,
  • Matthieu Bricogne,
  • Benoit Eynard,
  • Felix Nyffenegger

摘要

Mechatronic systems, combining mechanical, electrical and software technologies, require the collaboration of different engineering disciplines. In this complex interdisciplinary space, the importance of Model-Based Systems Engineering (MBSE) and Product Lifecycle Management (PLM) comes to the fore. MBSE and PLM represent different approaches that are inherently interrelated, within the broad field of product design and development. The integration of these two approaches is crucial for ensuring seamless information exchange and collaboration throughout the entire product lifecycle; it involves connecting different tools, methodologies and data formats. Several challenges hinder the seamless integration of these approaches. These challenges include mismatched data representations, semantic inconsistencies, varying granularity of information and different levels of abstraction. Overcoming these challenges requires a systematic approach where traceability plays a key role in establishing and maintaining connections between data, ensuring consistency of information throughout the product lifecycle. By highlighting the importance of traceability on a vending machine use-case, this paper contributes to the evolving discourse on effective methodologies for harmonizing different engineering practices in the development of mechatronic systems.