Reducing the number of sick individuals and improving healthcare is our goal. Healthcare is one of the largest expenditures, totaling around 75 billion euros annually. What if you could significantly reduce this amount by warning people in advance of a potential illness, enabling them to adjust their behavior in time or receive the right treatment promptly?

Products designed for mass production often do not align well with individual needs, sometimes requiring an exact and personalized fit. Emerging digital technologies such as 3D scanners, cloud services, and advanced manufacturing make true 'mass customization' more feasible, consequently increasing demand. An example of this is a concept for a personalized ventilator mask for children, produced through 3D printing based on a 3D scan of the child's face (see image).

Maintenance is essential to ensure the availability, reliability, and cost-effectiveness of technical systems such as the production facilities of Tata Steel. However, the degradation of systems is a dynamic process, influenced by changes in both the system and its environment. The challenge is to achieve just-in-time maintenance to save on maintenance costs (not replacing too early) and increase system availability (not replacing too late). The research project SUPREME addresses the central research question, 'How can advanced sensor technology and modeling of degradation and failure processes be used to develop a predictive maintenance concept for production systems?'