- About the project
- The understanding of new technologies varies among the academia, industry and governments of central European countries. CEUP 2030 strives for excellence in policy making on Industry 4.0/Advanced Manufacturing in this region. Using the outputs and results of Interreg cooperation and Horizon 2020 research projects, they will create a comprehensive innovation system for policy making to set best-in-class structures and processes. They will generate stable innovation networks and thus streamline emerging knowledge with policy building in a regional context.
- Challenges
- An upstreaming process is designed to meet the challenges & needs of available, high-quality innovation know-how in the CE area, which lacks sufficient cooperation & structure to really add-value at a policy-level & limits the competitive potential of connected regions. Transnational, multi-level learning supports regions to overcome this challenge.
- Main results to be achieved
- CEUP 2030 enhances the CE innovation eco system by establishing a sound Trend & Innovation Network scheme working on 4 common CAMI4.0 topics and set policy pilot actions for improving the innovation landscape with the RIS3 Round Tables. Furthermore, trainings in the Policy Learning Labs & the elaborated tech radars (in the Policy Intelligence Dashboard) also increase the innovation capacity.
- The status-quo is shifted through intensive, mutual triple-helix stakeholders learning, common EU-wide tech trend monitoring, to gain & streamline emerging knowledge & policy building in a regional & CE/EU context.
- Synergies, long term use
- CEUP 2030 synergises the outputs & results of 6 CE/H2020 twin projects & sets strong links to jointly & consistently implement them & emerging spin-off projects. The project sets a unique innovation system approach for regional & transnational policy making with high practical relevance. Joint future robust strategies for 2021-2027 and action plans push innovation in a long-term view but with immediate proven test cases to check the relevance for practice. CEUP 2030 involves 30 CE/EU regions and 100 stakeholders from different target groups directly in the project work and addresses at least 250 further ones via conferences.
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Industry 4.0 topics in CE
Intelligent Production Systems
An intelligent production system (IPS) is a system with the cognitive ability to deliver efficient interaction within a distributed industrial production environment, where humans and objectives collaborate in complex processes along the entire value-creation chain (Uhlmann, Hohwieler, Geistert, 2017: 1).
Subtopics:
- Smart Sustainable Manufacturing
- Production in the domain of big data
- Additive Manufacturing based hybrid process chains
- Scalable Flexible Manufacturing
Smart and Advanced Materials
Smart and Advanced Materials, also called intelligent or responsive materials, refers to designed materials that have one or more properties that can be significantly changed in a controlled fashion by external stimuli, such as stress, moisture, electric or magnetic fields, light, temperature, pH, or chemical compounds. Smart materials are the basis of many applications, including sensors and actuators, or artificial muscles, particularly as electroactive polymers (EAPs). Smart materials are understood to show interaction with the environment. They are innovative and functional materials for industry 4.0.
Subtopics:
- Smart structures & systems
- Process-related sensor technology
- Smart materials network
- Functional printing
Automation and Robotics
AUTOMATION AND ROBOTICS support the “Factory of the Future” and enables realising efficient, effective production processes ranging from nano scale processes over collaborative robotic systems to complex adaptive production systems.
Subtopics:
- Robotic and Assistive Systems
- Machine Vision – Zero Defect Manufacturing for Automation
- Augmented and virtual reality, visualization
- Simulation and Modelling, Flexible Production Systems
- Robots for non-Industrial Applications, Man machine collaboration
Artificial Intelligence
AI has a wide range of applications in diverse sectors, but the working group is going to focus mainly on manufacturing context, with the specific goal to address the most common challenges highlighted by industrial stakeholders.
AI-based systems can be:
- Software based, acting in the virtual world (e.g. voice assistants, image analysis software, search engines, speech and face recognition systems)
- AI can be embedded in hardware devices (e.g. advanced robots, autonomous cars, drones or Internet of Things applications).
Subtopics:
- Advanced Analytics
- Recognition Technologies
- Decision Management
- AI-enhanced hardware and robotics
CEUP 2030
01.03.2020
28.02.2022
