Keywords
lifecycle management
MBSE
PLM
CAD/CAE
Digital Thread
Digital Twin
variant and configuration management
How to Cite
Abstract
In today's system development, mechanics, electronics, software and control systems merge into a highly complex overall structure. Simulation and co simulation play a central role in this process: they make it possible to think in terms of virtual models right from the start of the development process, rather than waiting until the end to carry out tests. Simulation thus becomes a tool for understanding, decision making and risk minimisation. Co simulation extends this approach by synchronously coupling different domain models, thus creating a realistic representation of system dynamics. As a result, development is no longer based on static specifications, but on a living, evolving system model. Especially in the early concept phase, simulations provide valuable feedback on feasibility, performance and possible misconceptions. Standards such as FMI or HLA/HELICS enable the interoperability of a wide variety of tools, allowing the coupling of models from mechanics, electronics, thermodynamics and software. This creates a holistic understanding of complex interrelationships that would not be possible in individual disciplines. The integration of such models not only creates technological advantages, but also forms the basis for well founded, comprehensible decisions. Furthermore, the coupling of simulation and lifecycle management systems opens up new perspectives on sustainability. The work of Salehi and McMahon shows that the combination of parametric associative CAD systems, digital twins and AI supported lifecycle management makes ecological aspects measurable and controllable. Through the consistent digitalisation and linking of models, data and processes, sustainability becomes an integral part of systems engineering. The Munich Agile MBSE (MAGIC) concept illustrates that ecological optimisation can be achieved in iterative development cycles. Simulation thus becomes not only a technical tool, but also a strategic instrument for sustainable innovation processes. Simulation and co simulation thus mark the transition from linear development processes to dynamic, networked processes. They enable systems to be understood, optimised and designed in an ecologically responsible manner throughout their entire lifecycle.
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