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Project/Service Agreement:NMP2-CT-2006-026674

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Status
Projeto EncerradoClosed
Publication
PublicadoPublished
General Data
Code: 63534
 
Reference: NMP2-CT-2006-026674
Short name: XPRESS
Title: Flexible Production Experts for Reconfigurable Assembly Technology
Competitive Funding: Yes
Does it involve businesses?:
No. of Participating Institutions: 16
Scope
Type: Funded Project
 
Geographical Scope: International
 
Type of Action: R&TD
Funding
Programme: NANOTECH - 6ºPQ / Nanotechnologies and Nanosciences
Funding Institution: COMISSÃO EUROPEIA
Financial Geographical Scope: International
Scheduling
Effective Start Date: 2007-01-01
Expected Completion Date: 2010-12-31
Effective Completion Date: 2011-06-30
Budget
Currency: EUR
 
Total Approved Budget: 12.474.572,00 EUR
Details
Summary: 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 production 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 highquality products in adequate quantities Ver mais. Adequado para parcelas de texto incompletas e que, através deste ícone, permite-se que o utilizador leia o texto todo.
URL: https://ec.europa.eu/research/infocentre/article_en.cfm?id=/research/star/index_en.cfm?p=ss-140520xpress&calledby=infocentre&item=Countries&artid=32101&caller=SuccessStories
Scientific Context
Scientific Domain (FOS - Level 2): Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Academic fields (CORDIS - Level 5)

  • Technological sciences > Engineering > Control engineering > Automation
  • Technological sciences > Engineering > Control engineering > Robótica Robotics

Keywords

Mais informações There are no Keywords associated with the Project.
Documents
Mais informações There are no Documents associated with the Project.

Publications associated with the Project

Institutions Participating in the Project
Institution Contact Create Tab?
Name Short name Country Type Participation Name Telephone Email
Harms&Wende GmbH & Co. KG HWH Alemanha Company Coordinator Michael Peschl michael.peschl@hwh-karlsruhe.de
Airbus Deutschland GmbH Airbus (DE) Alemanha Company Partner Ralf Stelling Ralf.Stelling@airbus.com
AWL-Techniek B.V. AWL Países Baixos Company Partner Eisse Jan Drewes ej.drewes@awl.nl
Brötje Automation GmbH Brötje Alemanha Company Partner Sven Lange sven.lange@broetje-automation.de
Centro Richerche FIAT Societá Consortile per Azioni CRF Itália Company Partner Serena Sansonetti serena.sansonetti@crf.it
Critical Software, S.A. CS Portugal Company Partner Marco Costa mcosta@criticalsoftware.com
Faculdade de Engenharia da Universidade do Porto FEUP Portugal University Partner Fernando Lobo Pereira flp@fe.up.pt
Fraunhofer-Gesellschaft FRAUNHOFER Alemanha RD Institute Partner Kevin Reddig kevin.reddig@ipa.fraunhofer.de
Gamax Ltd. Gamax Hungria Company Partner Gábor Horváth gabor@gamax.hu
Hochschule Karlsruhe - Technik und Wirtschaft Alemanha University Partner Norbert Link norbert.link@hs-karlsruhe.de
Instytut Spawalnictwa IS Polónia RD Institute Partner Boguslaw Czwórnóg boguslaw.czwornog@is.gliwice.pl
Kuka Schweissanlagen GmbH KUKA Alemanha Company Partner Peter Rippl peter.rippl@kuka.de
Oulun Yliopisto OY Finlândia University Partner Minna Alajoki minna.alajoki@ee.oulu.fi
Steinbeis Stiftung für Wirtschaftsförderung StW Alemanha Non-profit institution Partner Jonathan Loeffler loeffler@steinbeis-europa.de
SWANTEC Software and Engineering ApS SWANTEC Dinamarca Company Partner Wenqi Zhang info@swantec.com
Technax Industries SAS França Company Partner Stephan Heine technax@technaxindustrie.com
 
Budgets and Teams
Approved Budget: 230.127,00 EUR
Approved Funded Amount: 230.127,00 EUR
Approved co-funded Amount: -
Funding Rate: 100 %
Confidential Budget:

People in the Project

Institution Name Short name Role Dedication (%) Contribution (%) Allocation
Start date End date
FEUP Fernando Manuel Ferreira Lobo Pereira FLP Official Researcher at the OU 15 35
FEUP Gil Manuel Magalhães de Andrade Gonçalves GMG Researcher 15 40
FEUP João Tasso de Figueiredo Borges de Sousa JBS Researcher 10 25

Technicians in the Project

Mais informações There are no Technicians associated with the Project.
Laboratories
Mais informações There are no Laboratories associated with the Project.
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