Technische Universität Berlin

The field of Industrial Information Technology is embedded in the Institute for Machine Tools and Factory Operations and focuses on advancing digital solutions to enhance and extend engineers’ activities throughout the entire virtual product development process—from the initial product idea through development to production planning and launch assurance.

Key research areas include intuitive and context-based information modeling, user-friendly and functionally tangible virtual prototypes, function-oriented virtual product development, and methodologies for product design. The core element of the department’s teaching concept is the demand-oriented transfer of engineering and information technology knowledge, ensuring the sustainable development of skills, experience, and values for the engineering profession.

Our contribution to the PACE-DPP project focuses on specifying scenarios for the utilization of Digital Twins across different phases of the product life cycle. In this context, we derive specific requirements for the “State-of-Health” and “Repair & Refurb” services within a DPP-based circular economy. A key aspect is ensuring continuous data access, even in situations where no real data is available, by leveraging data-driven and model-based extrapolation and interpolation. Additionally, we investigate and develop concepts for the Digital Twin-based determination of key performance indicators (KPIs), such as product state of health and sustainability ratings.