Integration of Data-drIven and model-based enGIneering in fuTure industriAL Technology With value chaIn optimizatioN (DIGITAL TWIN)

Smarter system due to digital twin

High-tech systems are increasingly complex and difficult to design, produce and maintain. The DIGITAL TWIN programme develops methods to make accurate digital twins of such systems: virtual software versions with which you can make simulations to predict, for example, how changes in the design influence the performance, how the control can be improved or which part requires maintenance at which moment.

  • Purpose and objectives

    Digital twins are now mostly still based on static theoretical models that assume normal behaviour. By linking these models to measurement data that indicate exactly how the system functions and by combining these data with artificial intelligence, the researchers can make digital copies that continually improve and adapt themselves. The research focuses on several model systems that have been contributed by the Dutch high-tech companies involved in the programme.

    Programme leader

    Prof. dr. ir. B. Jayawardhana (Rijksuniversiteit Groningen)

  • Budget and lead time

    This programme has started in 2019. The average duration of granted projects is 4 years.

  • Partners

    Airborne, Altran, ASML, ASM PT, Demcon, Fraunhofer Institute for Production Technology, Océ, Philips, QING Groep, Rijksuniversiteit Groningen, Stamicarbon, Tata Steel, Technische Universiteit Delft, Technische Universiteit Eindhoven, Tilburg University, TNO, Universiteit Leiden, Universiteit Twente, VDL Groep