A cyber-physical framework to support ultra-flexible production

Important results from the project

The project has developed a cyber-physical framework for extreme production flexibility with a focus on digital twins that enable real-time data exchange between physical and virtual components. The framework optimizes KPIs such as quality, efficiency and sustainability with advanced machine learning algorithms. Industrial test cases showed that the framework significantly increases flexibility without compromising production targets. The project has met its objective and aims.

Expected long term effects

Ultra-flexible production is needed to meet increasing complexity and rapidly changing eligibility requirements from the market. The project has provided solutions that help companies manage disruptions, adapt to market changes and reduce environmental impact. It enables climate-neutral production through efficient resource use and realizes hyper-adaptation with real-time reconfiguration. The results have potential to revolutionize future methods of setting up and managing production processes.

Approach and implementation

The project was organized into a number of work packages, which were appropriate to achieve the project objective. The collaboration included eight partners from industry and academia. Testbeds were used to validate and demonstrate the solutions. Through an iterative process of theoretical research and practical experiments, a scalable framework was developed that optimizes production flexibility and sustainability. The project largely followed its plan without unexpected elements.

External links

Generell informationssida för projektet.