SHOP4CF aims to find the right balance between cost-effective automation, repetitive tasks and involve the human workers in areas such as adaptability, creativity and agility where they create the biggest added value. Also to pursue the highly-connected factory model to reap the benefits of all the data generated within the factory.
Tapping into those data streams and human capital requires creating favorable technological, economical and societal conditions. SHOP4CF will do so by relying on the following:
- A platform developed on an open architecture encompassing technologies based on RAMI 4.0 and FIWARE Technologies which can support humans in production activities and providing basic implementation as a free, open-source solution. Including 30 components developed within SHOP4CF project by top RTOs from all over Europe.
- Implementing pilots acting as the testing facilities and seeds for adoption of the platform. 4 large scale pilots lead by industrial leaders in Europe and 30 FSTP Pilots selected through 5 competitive open calls that will receive technical, business and access to investment support.
- A marketplace as one-stop-shop for SMEs (developers and end users) to access essential services for digital transformation including business modelling, technical support, access to skills and finance.
- Building a vibrant and growing community around the platform necessary to create the adoption critical mass.
- Leading pre-standardization activities in the areas of collaborative robotics, AGVs and use of IoT devices on the shopfloor.
SHOP4CF will continue its operations with a self-sustainable non-profit association with members all over Europe that could be integrated with the one created by DIH2 project. SHOP4CF will demonstrate that public funded research can help SMEs & Mid-Caps achieve digital excellence and global competitiveness through adopting advanced robotics solutions in human-centric digitalization
|Total budget - Public funding:||16 180 681,00 Euro - 15 008 467,00 Euro|
|Call topic:||Digital Manufacturing Platforms for Connected Smart Factories_2 (DT-ICT-07-2019)|
- Utilisation of AR/VR communication & remote s...
- Upfront challenges faced by the assembly work...
- Improve automatic data acquisition, storage, ...
- Support workers and to reduce the error rate
- | TECHNISCHE UNIVERSITAET MUENCHEN (Coördinator)
- | Arçelik A.Ş.
- | EUROPEAN DYNAMICS LUXEMBOURG SA (ED)
- | Eindhoven University of Technology
- | FRAUNHOFER GESELLSCHAFT
- | FUNDINGBOX RESEARCH APS (FBR)
- | FZI Forschungszentrum Informatik am KIT
- | Fundacion Tecnalia Research Corporation
- | INSTITUT DE RECHERCHE TECHNOLOGIQUE JULES VERNE
- | INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK
- | INTERNETSIA, S.L. (ISDI)
- | ROBERT BOSCH ESPANA FABRICA MADRID SA (BOSCH)
- | Siemens AG
- | TEKNOLOGISK INSTITUT
- | Tampereen Korkeakoulusaatio Sr (TUT) - Tampere University of Applied Sciences