SELF-LEARNING

Reliable Self-Learning Production Systems Based on Context Aware Services

 Coordinatore INSTITUT FÜR ANGEWANDTE SYSTEMTECHNIK BREMEN GMBH 

 Organization address address: Wiener Strasse 1
city: BREMEN
postcode: 28359

contact info
Titolo: Mr.
Nome: Daniel
Cognome: Obreiter
Email: send email
Telefono: -2209599
Fax: -2209582

 Nazionalità Coordinatore Germany [DE]
 Sito del progetto http://www.selflearning.eu
 Totale costo 3˙171˙683 €
 EC contributo 2˙110˙000 €
 Programma FP7-NMP
Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies
 Code Call FP7-NMP-2008-SMALL-2
 Funding Scheme CP-FP
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-11-01   -   2013-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    Nome Ente NON disponibile

 Organization address address: Wiener Strasse 1
city: BREMEN
postcode: 28359

contact info
Titolo: Mr.
Nome: Daniel
Cognome: Obreiter
Email: send email
Telefono: -2209599
Fax: -2209582

DE (BREMEN) coordinator 441˙275.00
2    UNINOVA - INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS

 Organization address address: "CAMPUS DA FCT/UNL, MONTE DE CAPARICA"
city: CAPARICA
postcode: 2829-516

contact info
Titolo: Prof.
Nome: Jose
Cognome: Barato
Email: send email
Telefono: -2949306
Fax: -295448

PT (CAPARICA) participant 326˙400.00
3    TTY-SAATIO

 Organization address address: Korkeakoulunkatu 10
city: TAMPERE
postcode: 33720

contact info
Titolo: Prof.
Nome: Jose Luis
Cognome: Martinez Lastra
Email: send email
Telefono: +358 40 779 4748
Fax: +358 3 3115 2753

FI (TAMPERE) participant 304˙461.00
4    X/OPEN COMPANY LIMITED

 Organization address address: FORBURY ROAD APEX PLAZA
city: READING
postcode: RG1 1AX

contact info
Titolo: Mr.
Nome: Scott
Cognome: Hansen
Email: send email
Telefono: +32 2 675 1136
Fax: +32 2 675 7721

UK (READING) participant 295˙641.00
5    BOSCH REXROTH AG

 Organization address address: Zum Eisengiesser 1
city: LOHR AM MAIN
postcode: 97816

contact info
Titolo: Dr.
Nome: Ralf
Cognome: Bonefeld
Email: send email
Telefono: +49 9352 18 2309
Fax: +49 711 811 5171931

DE (LOHR AM MAIN) participant 264˙011.00
6    Fastems Oy Ab

 Organization address address: tuotekatu 4
city: Tampere
postcode: 33840

contact info
Titolo: Mr.
Nome: Jani
Cognome: Granholm
Email: send email
Telefono: +358 (0)3 268 5111

FI (Tampere) participant 255˙332.00
7    KLOECKNER DESMA Schuhmaschinen GmbH

 Organization address address: Desmastrasse 3-5
city: Achim
postcode: 28832

contact info
Titolo: Mr.
Nome: André
Cognome: Förster
Email: send email
Telefono: -5539
Fax: ++49 4202 990 272

DE (Achim) participant 222˙880.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

service    self    services    maintenance    integration    principles    infrastructure    soa    industrial    context    trust    solutions    security    learning   

 Obiettivo del progetto (Objective)

'The strategic objective is to strengthen EU leadership in production technologies in the global marketplace by developing innovative self-learning solutions to enable tight integration of control & maintenance of production systems. The project will develop highly reliable and secure service-based self-learning solutions aiming at that integration. The Methodology addressing organisational aspects of such a radical change in production systems, within extended enterprise concept, applying lean principles will be elaborated. Approaches based on SOA principles, using distributed networked embedded services in device space, are the most appropriate for implementation of such self-learning solutions. The main obstacles to fully utilize the opportunities offered by service-based self-learning systems are problems related to reliability, availability, interoperability and security & trust of diverse SW services. Context awareness, providing information about the processes & equipment and circumstances under which the services operate and allowing them to react accordingly, is a promising holistic approach to assure needed self-learning adaptation to changes in processes and equipment states and, on the other hand, Quality of Services needed for such self-learning production systems. The project will develop context models and self-learning context extractor, self-learning adapter for control, maintenance and parameter identification, as well as SOA based infrastructure including security & trust framework and an agent based middleware introduced in the service structure. The project will be driven by three industrial application scenarios from 3 industrial partners, where self-learning components and SOA infrastructure for integrated control and maintenance will be applied for machine tools, FMS and assembly lines in discrete manufacturing. The proposed approach will lead to maintenance costs reduction of 12%, and to an increase by 10% of Overall Equipment Effectiveness'

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