- Additive manufacturing
- Innovative physical, chemical and physicochemical processes
- Photonics-based materials processing technologies
- Shaping technology for difficult to shape materials
- Replication, Equipment for flexible scalable prod/Assembly , Coatings
- Methods for handling of parts, metrology and inspection
- Integration of non-conventional technologies and conventional technologies
- High productivity and “self assembly” technologies development of conventional (joining, forming, machining) and new micro/nano-manufacturing processes
- Flexible Sheet-to-Sheet (S2S) and Roll-to-Roll (R2R)
- Recycling processes
- Control technologies
Condition and performance monitoring technologies
Continuous monitoring of the condition and performance of specific critical parts (equipment, infrastructure and environment) of the manufacturing system will provide feedback to the real-time brokering and message translations services allowing seamless integration of heterogeneous manufacturing components.
- Intelligent machinery components, actuators and end-effectors
- Energy technologies
- Advanced materials in manufacturing systems
Digital manufacturing platforms
The COMPOSITION Integrated Information Management System will be a collaborative ecosystem where all members of a manufacturing supply chain can connect in a secure environment. The Security Framework will implement the security core mechanisms aiming to ensure the security, confidentiality, integrity and availability of the managed information for all authorised COMPOSITION stakeholders.
IoT - Internet of Things
The Digital Factory Model (DFM) will provide an integrated representation of the intra-factory domain at machine-level, end-user-level, and process-level. The DFM model will be used to exploit data coming from machinery, sensors and production lines and will offer interoperability in communication by providing all these heterogeneous data in a common format. The DFM is re-used in the Decision Support System, in Simulation and in the Deep Learning Toolkit. The integration of information will enable better use of the data available in the physical layer of the factories to be made.
Human Machine Interfaces
Requirements of modern production processes stress the need for greater agility and flexibility, for faster production cycles, increased productivity, less waste and more sustainable production. Human-machine interaction is put in the center, supporting the decision making process.
Investigation of advanced HMIs for direct interaction with real-world objects. Consideration of mobile user interfaces that allow accessing crucial immediate information everywhere in the factory. Consideration will also be given to data gathering from ultra low power IoT devices such as wireless sensors where data can then be aggregated and visualised at an appropriate HMI interface. Where possible provision for self-powering these IoT devices using ...
Interoperability for M2M & HMI in factory environments II
- Data collection, storage, analytics, processing and AI
System modelling, simulation and forecasting
A Simulation and Forecasting Toolkit analyses the production processes and required resources in an integrated way and extracts forecasts for possible failures. Also forecasting is provided in supply chain and logistics, especially in fill level monitoring of bins and boosts the waste management and recycling processes. Sustainable manufacturing will be assisted by a Decision Support System. The Marketplace will enable dynamic integration with actors in the supply chain.
Digital Factory Model II
- Programming Frameworks – Software Development Kits (SDKs)
- Programming Languages
- Operating systems
- ICT Architectures
- From Product/Services Systems (product centric approach) to Services through Product (solution oriented approach)
- From delocalisation to Globalisation 2.0 (re-shoring)
- From User-centric design to user well-being design
- Virtualisation and digitalisation of the interrelation between manufacturing and new business models