Manufacturing industries continuously face the challenge of delivering high-quality products
under high production rates while minimizing non-value adding activities. The recent COVID …

Abstract Machine learning normally requires a considerable amount of data for model
training, limiting the field of usage especially for small manufacturing companies due to their …

Digital twins are representations of real-world systems in the digital world, relying on
physical system data to optimise, manipulate, detect, and interact. The requirements of …

In an age characterized by unprecedented global uncertainties and disruptions, the
resilience of the manufacturing industry stands as an imperative of utmost significance. The …

Due to the fact that uncertainties and disruptions are increasing because of the complexity of
the supply chains, resilience has become a very important and imperative aspect for modern …

Abstract The European Production Giganet contributes to the twin green and digital
transition of the EU strategy to become climate neutral by 2050. The digitalization offers high …

Integrating digital technologies offer companies a range of potentials for optimizing business
processes, exploring new business models and collaborating along value chains to co …

Vor der Realisierung einer neuen Daten-Plattform bzw. der Teilnahme an einem Datenraum
oder einem Datenökosystem sind einige nicht-triviale technische Aspekte zu klären, die hier …

Data spaces and service ecosystems such as Gaia-X are expected to fuel the emerging data
economy. It is well known, however, that this type of network-based economic governance …

In diesem Whitepaper wird anhand des Projektes EuProGigant (Europäisches
Produktionsgiganet zur kalamitätsmindernden Selbstorchestrierung von …