FRAME

Fast Ramp-up and Adaptive Manufacturing Environment

 Coordinatore THE UNIVERSITY OF NOTTINGHAM 

 Organization address address: University Park
city: NOTTINGHAM
postcode: NG7 2RD

contact info
Titolo: Mr.
Nome: Paul
Cognome: Cartledge
Email: send email
Telefono: +44 115 9515679
Fax: +44 115 9513633

 Nazionalità Coordinatore United Kingdom [UK]
 Sito del progetto http://www.frame-eu.org
 Totale costo 4˙777˙802 €
 EC contributo 3˙250˙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) 2009-10-01   -   2012-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF NOTTINGHAM

 Organization address address: University Park
city: NOTTINGHAM
postcode: NG7 2RD

contact info
Titolo: Mr.
Nome: Paul
Cognome: Cartledge
Email: send email
Telefono: +44 115 9515679
Fax: +44 115 9513633

UK (NOTTINGHAM) coordinator 766˙276.10
2    FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V

 Organization address address: Hansastrasse 27C
city: MUENCHEN
postcode: 80686

contact info
Titolo: Mr.
Nome: Walter
Cognome: Krause
Email: send email
Telefono: +49 89 1205 2713
Fax: +49 89 1205 77 2713

DE (MUENCHEN) participant 453˙607.00
3    Mikron SA Boudry

 Organization address address: route du Vignoble 17
city: Boudry
postcode: 2000

contact info
Titolo: Mr.
Nome: Markus
Cognome: Werro
Email: send email
Telefono: +41 32 843 1585
Fax: +41 32 843 11 22

CH (Boudry) participant 426˙792.94
4    THE UNIVERSITY OF SHEFFIELD

 Organization address address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN

contact info
Titolo: Dr.
Nome: Rosemary
Cognome: Gault
Email: send email
Telefono: 441142000000
Fax: 441142000000

UK (SHEFFIELD) participant 352˙021.38
5    IDEKO S COOP

 Organization address address: Arriaga Kalea 2
city: ELGOIBAR
postcode: 20870

contact info
Titolo: Mr.
Nome: Joseba
Cognome: Perez Bilbatua
Email: send email
Telefono: +34 943748000
Fax: +34 943 743 804

ES (ELGOIBAR) participant 299˙047.56
6    DIAD SRL

 Organization address address: STRADA DELLA PRAIA 12/C
city: BUTTIGLIERA ALTA
postcode: 10090

contact info
Titolo: Dr.
Nome: Sonia
Cognome: Sereno
Email: send email
Telefono: +39 393 923 6605
Fax: +39 011 9319173

IT (BUTTIGLIERA ALTA) participant 280˙199.00
7    ROBERT BOSCH GMBH

 Organization address address: Robert-Bosch Platz 1
city: GERLINGEN-SCHILLERHOEHE
postcode: 70839

contact info
Titolo: Ms.
Nome: Sabine
Cognome: Terzyk
Email: send email
Telefono: 0049 3032 788 512
Fax: 0049 3032 788 244

DE (GERLINGEN-SCHILLERHOEHE) participant 269˙483.38
8    Advanced data processing GmbH

 Organization address city: Dresden
postcode: 1237

contact info
Titolo: Mr.
Nome: Knut
Cognome: Voigtlaender
Email: send email
Telefono: +49 351 404 4990

DE (Dresden) participant 225˙012.61
9    HEITEC AG

 Organization address address: WERNER VON SIEMENS STRASSE 61
city: ERLANGEN
postcode: 91052

contact info
Titolo: Mr.
Nome: Carsten
Cognome: Wehner
Email: send email
Telefono: 0049 9131 877 172

DE (ERLANGEN) participant 163˙535.00
10    ROLLS-ROYCE PLC

 Organization address address: BUCKINGHAM GATE 65
city: LONDON
postcode: SW1E 6AT

contact info
Titolo: Mr.
Nome: David Nigel
Cognome: Bone
Email: send email
Telefono: +44 1332 249842
Fax: +44 1332 249646

UK (LONDON) participant 14˙025.00

Mappa


 Word cloud

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

service    learning    ramp    disruptive    manufacturing    events    times    transformation    strategies    self    thereby    services    automatically    fine    view   

 Obiettivo del progetto (Objective)

'The aim of the FRAME project is a paradigm shift from the conventional human-driven ramp-up and system integration process to fully automated, self-learning and self-aware production systems. In particular, the project will deliver new methods to represent structure, capability and behaviour not only on machine level, but from a holistic point-of-view. This overall view allows the production system to actually understand the effects of process to the others, thereby allowing the development of novel methods to automatically detect bottlenecks, errors and potential for system optimisations with regards to the fine-tuning of processes. Furthermore, the project will integrate time-compressed simulation sandpits with a self-learning manufacturing environment that allows to automatically propose strategies to fine-tune processes during the ramp-up or in response to changes or disruptive events. The outcomes of the project will therefore facilitate the development of self-learning production systems that are easy to deploy and can react to fluctuations and disruptive events. This in turn, will drastically decrease system ramp-up times and down-times for European industrial sectors and thereby increasing productivity and yield. For system integrators it will particular lay the foundation for the successful system-to-service transformation from static capital-intensive production lines towards using dynamic manufacturing services on demand. The project aim is supported by the following key objectives: • Developing self-aware manufacturing systems enable by sensor enhanced machines • New self-learning strategies to accelerate the ramp-up, system optimisation and reaction to disruptive events • Supporting the system-to-service transformation in manufacturing by automating the deployment of manufacturing services into the line'

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