Pilot - SIEMENS SIMATIC Products Quality Improvements
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
improve false positive rate by 20%. Measured as false positives rate, actual value is considered confidential.
Project: QU4LITY
Updated at: 01-02-2024
Deviation on cycle-time, from 98% (as is) to 99% (to be)
Project: BOREALIS
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
Several services in the M4.0 portal permit the analisis and optimization of the equipment parameters in order to produce zero defect parts.
M4.0 reduces the required time to select the most suitable equip0ment for a manufacturing process.
M4.0 is a holistic tool valid for all type of manufacturing processes (grinding, milling, bending, cutting, additive manufacturing….)
In two aspects: on the one hand productivity in the selection of the equipment (faster and reliable). On the other, productivity of the equipment in place thanks to specific services that analyse the productivity on eadh manufacturing process.
The data transaction is reliable as it is based on IDS RA
Project: ROSSINI
Updated at: 06-12-2023
Project: ROSSINI
Updated at: 06-12-2023
Project: DIGICOR
Updated at: 06-10-2023
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
Project: AI REGIO
Updated at: 04-07-2023
Project: AI REGIO
Updated at: 04-07-2023
Updated at: 18-02-2023
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.