Projects overview
Met4FoF | Metrology for the Factory of the Future
01-06-2018
-31-05-2021
SmartCom | Communication and validation of smart data in IoT-networks
01-01-2018
-01-01-2021
SCOTT | Secure COnnected Trustable Things
01-05-2017
-31-10-2020
iDev40 | Integrated Development 4.0
01-05-2018
-31-10-2021
DELPHI4LED | From Measurements to Standardized Multi-Domain Compact Models of LEDs
01-06-2016
-30-09-2019
SWARMs | Smart and Networking UnderWAter Robots in Cooperation Meshes
01-07-2015
-31-07-2018
EUCoM | Standards for the evaluation of the uncertainty of coordinate measurements in industry
01-06-2018
-31-05-2021
QU4LITY | Digital Reality in Zero Defect Manufacturing
01-01-2019
-31-07-2022
One the one hand, some pilot owners expect that no particular skills will be requested after the QU4LITY project development implementations. For example:
- all systems should remain accessible by the majority of the workers without specific expertise or knowledge (where for instance each correlation system has to remain within a blackbox and only provide rules outputs for production lines).
- The AR app and the first training on the machine will be enough for start the production with new operators on the line.
- In essence the job profile will remain the same, however, the operators need to understand & be able to work with these new technologies. This requires some basic knowledge on the (digitalized) systems, for the operators a lot can be captured in SOP’s (standard operation procedures), but the technical support staff should also have some basic knowledge on the workings and the hardware/software side of the systems in order to be able to support the shopfloor where needed
New job profiles and associated skills are: Digital Business Processes Analyst, Expert in Machine Learning Algorithms, DevOps Development knowledge, Data scientist (programming and statistical knowledge), Artificial Inteligence knowledge, Cybersecurity expert, Ontology architects and modellers in MBSE, Digitalized systems Shopfloor worker, Digital and connectivity engineering, New systems integration Manufacturing Engineer, Cloud -Data Formats - Data analytics Engineer, Product, manufacturing and quality global knowledge.
Re- and upskilling needs were identified in the following areas: AI and Data analytics; Agile development, Multi disciplinary project management (IT, mechanical, electrical engineering); Design Thinking; Standardization; Data Analysis and Data Space technology for Manufacturing; IT Skills : Docker environment and languages like phyton of json; Data Analytics : basic skills , BI softwares
Programming languages such as C#, C ++, HTML, Java, Microsoft .NET and SQL Server ; data tools for data cleaning and preprocessing, data parsing, data feature engineering; machine to machine (M2M) data and protocols; Machine Learning Skilling for all languages/ ML Systems; Data analysis skills
The following knowledge delivery mechanism where identified as relevant: AR/VR, gamification, on-the-job training, vocational training, MooCs (Massive Open Online Courses)
- For newcomers to the field of Zero Defect Manufacturing, MOOCs are the way to go, since they can cover more aspects of the Industry4.0 and ZDM, not just the data science part. For the work force already in place, vocational training or on the job training would be recommended, herewith quickly adapting to the new working situations. On the job training would be enough to transmit knowledge of the technology. The solution develop has to be as user friendly as possible and be quickly understandable either on the HMI aspect and on the hardware side.
ZDMP | Zero Defect Manufacturing Platform
01-01-2019
-30-06-2023
EFPF (European Factory Platform) | European Connected Factory Platform for Agile Manufacturing
01-01-2019
-31-12-2022
SHAREWORK | Safe and effective HumAn-Robot coopEration toWards a better cOmpetiveness on cuRrent automation lacK manufacturing processes.
01-11-2018
-31-10-2022
CSA-Industy4.E | Coordination and Support Action for Industry4.E
01-10-2018
-31-03-2021
Clear5G | Converged wireless access for reliable 5G MTC for factories of the future
01-09-2017
-29-02-2020
DigiPrime | Digital Platform for Circular Economy in Cross-sectorial Sustainable Value Networks
01-01-2020
-31-12-2023
The Battery Pilot will aim at demonstrating that the DigiPrime platform can unlock a sustainable business case targeting the remanufacturing and re-use of second life Li-Ion battery cells with a cross-sectorial approach linking the e-mobility sector and the renewable energy sector, specifically focusing on solar and wind energy applications.
As the proactive exploitation of the DigiPrime platform enables the car-monitored SOH tracing and availability, less testing is needed to assess the residual capacity of the battery. Moreover, by knowing the structure of the battery packs, a decision support system can be implemented to adjust the de-and remanufacturing strategy accordingly and select the most proper cells for re-assembly second-life modules, thus unlocking a systematic circular value chain for Li-ion battery cells re-use. Furthermore, excessively degraded cells which cannot be re-used can be sent to high-value recycling, based on the knowledge of their material compositions.
RECLAIM | RE-manufaCturing and Refurbishment LArge Industrial equipMent
01-10-2019
-30-09-2023
SHOP4CF | Smart Human Oriented Platform for Connected Factories
01-01-2020
-31-12-2023
INEDIT | open INnovation Ecosystems for Do It Together process
01-10-2019
-31-03-2023
OPEN_NEXT | Company-Community Collaboration for Open Source Development of products and services
01-09-2019
-30-11-2022
DIMOFAC | Digital Intelligent MOdular FACtories
01-10-2019
-31-03-2024
Main challenges identified are:
- Training the existing workforce to use the new technologies
- Support the start-up stages to overcome initial reluctance due to lack of knowledge and too many aspects to integrate, so that industrials does not know how to start
- Reassure and support manufacturers to better embrace innovative Industry 4.0 technologies through test-before-invest approach
- Creating positive image about the manufacturing industry in the new generation so that they are open to join manufacturing domain
- Use of standardisation and healthy collaborations
Training the existing workforce to use the new technologies is identified as a main challenge
ConnectedFactories 2 | Global-leading smart manufacturing through digital platforms, cross-cutting factors and skilled workforce
01-12-2019
-30-11-2022
SeCoIIA | Secure Collaborative Intelligent Industrial Assets
01-12-2019
-31-05-2022
MARKET4.0 | A Multi-Sided Business Platform for Plug and Produce Industrial Product Service Systems
01-11-2018
-30-04-2022
Simplified and Efficient Selection of Suitable Manufacturing Equipment: For the equipment manufacturer, IDSRAM permits the trusted connection of the equipment repository with external apps (ESS), permitting (in a time-saving process) the best selection of a manufacturing equipment, thanks to accessible data that where not accessible before.
The MARKET4.0 Metal Domain Data Space propose two solutions:
- The first solution permits the connection of equipment manufacter repositories with a single connector (LMS/TNO). The benefit of this solution is that equipment manufacturers do not require knowledge of IDS RA and it is the connector owner who has it.
- The second solution has the benefit to connect one service with several data providers through several IDS connectors. The benefit of this second solution is that the data provider controls the data flow and is independent of the connector provider.
As a customer, easy access to equipment manufacturers repositories or to manufacturing services. As an equipment or service provider, easy access to the market.
IDS RA configuration and implementation not only on a peer to peer basis, but creating a data space.
AVANGARD | Advanced manufacturing solutions tightly aligned with business needs
15-10-2019
-14-10-2022
ETEKINA | HEAT PIPE TECHNOLOGY FOR THERMAL ENERGY RECOVERY IN INDUSTRIAL APPLICATIONS
01-10-2017
-31-03-2022
The main innovation will be represented by the introduction in production of MPFQ model fused with AQ control loops: Functional Integration and Correlation between Material, Quality, Process and Appliance Functions.