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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- natural sciences computer and information sciences data science data mining
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aeronautical engineering
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2004-NMP-NI-4
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
HAMBURG
Germany
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
Participants (17)
GENAS
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
HOERSHOLM
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
95 01 09 HAMBURG
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
245 HARDERWIJK
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
WIEFELSTEDE
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
BUDAPEST
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
COIMBRA
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
MUENCHEN
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
2440 KARLSRUHE
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
8000 OULU
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
GLIWICE
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
ORBASSANO (TO)
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
PORTO
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
AUGSBURG
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
PORTO
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
431348 AUGSBURG
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
STUTTGART
See on map
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.