In our division »Mathematics for Vehicles, Systems and Production« (MF) at Fraunhofer ITWM, we develop mathematical methods and software solutions for the virtual development, optimization, and validation of technical systems. Our research lays the foundation for realistically simulating and improving vehicles, components, and industrial processes on a computer before physical prototypes are created.
In doing so, we combine mathematical modeling, simulation, statistics, and Artificial Intelligence. Our solutions are used, among other things, in the development of vehicles, tires, cables, hoses, transportation networks, and technical systems.
From Development to Flawless Production
Mathematics plays a central role not only in product development, but also in manufacturing and quality assurance. Statistical methods help realistically model usage and stress scenarios and develop test strategies for product validation. In production, models, agentic AI, and data-driven methods help detect deviations in processes early on, prevent errors, and ensure consistent quality. Modern approaches to condition monitoring and AI-supported image processing make it possible to automatically identify even the smallest irregularities and continuously optimize production processes.
By combining mathematical expertise, technical understanding, and interdisciplinary collaboration, we create solutions for the industry’s current challenges. At the same time, we are working on future-oriented topics such as data-driven modeling, Machine Learning, predictive maintenance, robotics, and hybrid models that combine physical knowledge with Artificial Intelligence methods to automate and optimize processes using agent-based approaches.