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Next UPPS - Ultra-Personalised Products and Services
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).
Smart Sensors and Predictive Maintenance in Steel Production (SUPREME)
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?'
Project Update - Data Logistics 4 Logistics Data
Sharing data is the cornerstone on which digital collaboration in logistics rests. Therefore, data sharing is crucial for increasing efficiency, reducing costs, and alleviating pressure on infrastructure and the environment. Additionally, digital collaboration enables the creation of new logistics concepts, leading to fresh business opportunities and solutions for challenges such as goods visibility, synchronization of planning among partners, and capacity consolidation.
DISTANT - Defending against Implementation attackS Through mAchiNe learning Technique
Chip cards such as bank cards or cards used in public transport are sought-after targets for attackers who often use side-channels to attack them. DISTANT is focused on the development of automated frameworks capable of assessing various potential side-channel and fault injection threats, originating from various sources. Such systems will provide security assessors, and especially companies producing chips for security applications, with an opportunity to detect potential weaknesses early and to adequately balance product security and implementation friendliness.
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