Objective
The goal of XPRESS is to establish a breakthrough for the factory of the future with a new flexible production concept based on the generic idea of 'specialised intelligent process units' ('expertons') integrated in cross-sectoral learning networks for a customised production.
This knowledge-based concept integrates the complete process chain: production configuration (decrease of ramp-up time of at least 50%), multi-variant production line (varying types & volumes on a single line) and 100% quality monitoring.
This concept is demonstrated in the automotive, aeronautics and electrical industry but can be transferred to nearly all production processes. XPRESS meets the challenge to integrate intelligence and flexibility at the 'highest' level of the product ion control system as well as at the 'lowest' level of the singular machine.
The radical innovations of the 'expertonic networked factory' are knowledge and responsibility segregation and trans-sectoral process learning in specialist knowledge networks. The concept is built on co-ordinated teams of specialised autonomous objects (expertons), each knowing how to do a certain process optimally.
They have the intelligence to choose the best-known production parameters for a given task. Assembly units composed of expertons can flexibly perform varying types of complex tasks, whereas today this is limited to a few pre-defined tasks.
Communicating machines will be developed using self-organising and self-learning algorithms, data mining and common interfaces. By sharing the specific knowledge of each experton in a network, other expertons are able to learn from each other in one production line, but also between different lines as well as different production units.
This architecture allows continuous process improvement. XPRESS will be able to anticipate and to respond to rapidly changing consumer needs, producing high-quality products in adequate quantities while reducing costs.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencesdata sciencedata mining
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
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Call for proposal
FP6-2004-NMP-NI-4
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Funding Scheme
IP - Integrated ProjectCoordinator
HAMBURG
Germany
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Participants (17)
GENAS
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HOERSHOLM
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95 01 09 HAMBURG
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245 HARDERWIJK
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WIEFELSTEDE
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BUDAPEST
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COIMBRA
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MUENCHEN
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2440 KARLSRUHE
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8000 OULU
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GLIWICE
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ORBASSANO (TO)
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PORTO
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AUGSBURG
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PORTO
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431348 AUGSBURG
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STUTTGART
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