Next Generation Engineering

Center for Systems Engineering

As part of the RWTH Aachen Campus, the Center for Systems Engineering (CSE) pursues the goal of developing and holistically testing the key technologies required for the product development process of tomorrow. The networking of the individual development steps and the development tools used enables highly iterative, agile and partially automated product development.The model-based development of technical systems forms the basis for complete digitalization and automation. The work of the CSE is intended to introduce and investigate model-based system development in various industries in the future.



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08.02.2023 | First visits of Successful Practice companies to KBM-CE.

The first visit took place at Phoenix Contact in Blomberg in mid-January and was characterized by lively discussion of our consortium. Phoenix Contact is…

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08.02.2023 | First CSE Quarterly Meeting 2023

At the end of January, we again invited our community partners to Aachen for the first quarterly meeting of the Center for Systems Engineering.…

Seamless. Smart. Sustainable.

At the Center for Systems Engineering, we deal with the requirements and solutions for modern and innovative engineering. Model Based Systems Engineering (MBSE) is the foundation of system development through the use of comprehensive models, while AI-powered engineering solves complex problems more efficiently through the input of artificial intelligence and machine learning.
Circular Lifecycle Engineering optimizes the entire lifecycle of products to minimize resource consumption and environmental impact. Together, these concepts form the basis for future-oriented and sustainable engineering practice.

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Model-Based Systems Engineering

Model-Based Systems Engineering (MBSE) is the approach to developing complex systems that relies on models instead of traditional documents. It enables a comprehensive representation of the system and promotes collaboration between disciplines. Standardized modelling languages (e.g. SysML) and tools improve efficiency, traceability and decision-making during the development process.

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AI-powered Engineering

AI-powered engineering uses artificial intelligence to solve complex engineering problems more efficiently. By using machine learning and data analysis, processes are automated, design iterations are optimized and performance improvements are achieved. This speeds up development, reduces costs and promotes innovation.

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Circular Lifecycle Engineering

Circular lifecycle engineering optimizes the entire lifecycle of products to minimize resource consumption and environmental impact. By integrating circular economy concepts, products and materials are designed in such a way that they can be reused, recycled or biodegraded, which reduces waste and improves resource efficiency.

Our offer

We offer three types of membership: Basic, Business and Premium. Depending on the membership type, members enjoy different rights within the five benefit modules. The five benefit modules include:

    • Affiliation
    • Research & Development
    • Community
    • Continuing education
In consortial projects, various companies pool their expertise and share the costs – this allows research projects to be carried out that would otherwise not be possible. The members help to determine the technology topics and research priorities for the coming years, use specialist training courses for their own staff and use the resulting knowledge for their innovation process.

Join our community!

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