Competences and Offer

The digitalization and virtualization of industrial processes offer significant potential for development and manufacturing. The digital transformation process has been underway for several decades and is now in a rapid phase. The reasons for this are:

  • Relatively affordable parallel computing systems (including GPUs) that have greatly advanced areas such as modeling/simulation, data science/artificial intelligence, and extended reality.
  • Sensor systems that have become increasingly cost-effective due to mass production and microtechnological manufacturing processes, enabling efficient data capture.
  • The high availability of data from the World Wide Web and associated technologies in scalable data handling.
  • The development of deep neural networks, which now make artificial intelligence applicable on a large scale in various fields.

In particular, small and medium-sized enterprises (SMEs) often have limited resources and may struggle to introduce digital technologies profitably. With a well-connected team and specialists from various disciplines, RhySearch is happy to support you in your digital transformation.

 

Our Offer

  • Virtual product development and numerical simulations
  • Optimization methods for product design
  • Digital twins for model-based control of machine tools and manufacturing processes
  • Data-centric methods and AI for monitoring and optimizing production processes
  • Machine learning methods
  • Risk minimization through statistically based decision processes
  • Development of virtual training with extended reality methods

Publications and Whitepaper

Our employees in the Digital Innovation Lab are recognized experts in their field and regularly publish scientific work in the form of papers, presentations, lectures and white papers. 

We also support students who are interested in writing their student research project, bachelor or master thesis in the field of digitalization and virtualization of industrial processes. 

An insight into current publications and the Whitepaper: Digital twins - classification and examples can be found here: Publications

 

Contact

Your contact person for a non-binding conversation is Prof. Dr. Michael Schreiner.
Do not hesitate to contact him.

 

Our website uses cookies so that we can continually improve the page and provide you with an optimized visitor experience. If you continue reading this website, you agree to the use of cookies. Further information regarding cookies can be found in the data protection note.
If you want to prevent the setting of cookies (for example, Google Analytics), you can set this up by using this browser add-on.