Periodic Reporting for period 2 - DIGICOR (Decentralised Agile Coordination Across Supply Chains)
Project: DIGICOR
Updated at: 29-04-2024
Project: DIGICOR
Updated at: 29-04-2024
Project: AM-motion
Updated at: 29-04-2024
Project: BOREALIS
Updated at: 29-04-2024
Project: MANUTELLIGENCE
Updated at: 29-04-2024
Project: JOIN-EM
Updated at: 29-04-2024
Project: QU4LITY
Updated at: 01-02-2024
improve false positive rate by 20%. Measured as false positives rate, actual value is considered confidential.
Project: QU4LITY
Updated at: 01-02-2024
Project: OPTIMAL
Updated at: 30-01-2024
The OPTIMAL project will integrate for the first-time different laser lithography technologies, quality monitoring systems and processes in one platform for the development of structures with high depth, dimensions in the range from 100 nm to sub-mm, 2D&3D shape on flat surface, combining parallel & serial patterning, no need for external treatments on samples, increased speed and large area.
Project: AI REGIO
Updated at: 25-01-2024
Project: CloudiFacturing
Updated at: 12-01-2024
It is expected that new nozzle design and thus new water quench will be available for the customers in 5 years time. It is expected that those new products will attract new clients: 5 new contracts in 1 year increasing to 10 new contracts in 5 years, which will increase the turnover of Ferram by 500k Euros in 1 year and 3,5 million Euros in 5 years after the experiment end.
IT4Innovations as DIH and resource provider is expecting the experiment to increase their innovation potential and improve their competitiveness. They are also expecting to increase the number of customers: It is expected that 2 new customers will be attracted due to new capabilities within 5 years after the experiment and will create new sources of revenue.
Project: MARKET4.0
Updated at: 12-01-2024
Project: ROSSINI
Updated at: 06-12-2023
Project: ROSSINI
Updated at: 06-12-2023
Project: Daedalus
Updated at: 13-09-2023
Project: JOIN-EM
Updated at: 19-07-2023
Project: AI REGIO
Updated at: 17-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Concerning the ecological and economic operation of a factory, data analytics tools in combination with simulation approaches can contribute to improved throughput, bottleneck-reduction, or both for the production line. Through the optimization of the processes, production execution on organization and logistic level can be optimized by reducing the amount of material within the system, the lead times, or both.