Results
Self-Learning is an international research project with partner organisations from academia, research and industry. Located in four European countries and experienced in multi-national projects, the consortium offers a wide scope of competencies. Key objective of the Self-Learning project is to develop highly reliable and secure service-based self-learning production systems. The project results shall enable an integration of control of production systems and other manufacturing activities, like maintenance and energy use optimisation. The strategic objective of Self-Learning project is thereby to strengthen EU leadership in production technologies in the global marketplace.
The key assumption of the project is that a context awareness approach will allow adaptation
and enhancement of control and other manufacturing activities of production systems (e.g. energy use optimisation, maintenance). The Self-Learning project will address how to assure effective selfadaptation of the production systems in order to improve control &energy efficiency utilising context awareness. The project will provide ICT solutions on how to extract context from networks/services and processes, how to apply self-adapting approaches and how to reuse these for highly reliable self-learning services. These new services will be integrated into the device centric infrastructure.

Targeted activities based on selfâlearning solution are likely to have a high impact on manufacturing
industries in terms of:
- Reduction of time and efforts needed for development/installation of control systems of production systems.
- Increase flexibility for development/installation of control systems of production systems.
- Reduction of down times during product exchange and conflict situations.
- Increase of Overall Equipment Effectiveness (OEE):
- Increase of plant availability
- Increase of productivity
The project is driven by three application scenarios in real world industrial environment: Integration
of control and energy optimisation of manufacturing processes, enhancing flexibility
of machines, optimised job dispatching of flexible production cells.