Advanced automation solutions for future adaptive factories (Articolo in rivista)

Type
Label
  • Advanced automation solutions for future adaptive factories (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.cirp.2007.05.104 (literal)
Alternative label
  • Carpanzano E. ; Jovane F. (2007)
    Advanced automation solutions for future adaptive factories
    in CIRP annals; ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, AMSTERDAM (Paesi Bassi)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Carpanzano E. ; Jovane F. (literal)
Pagina inizio
  • 435 (literal)
Pagina fine
  • 438 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 56 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Jovane F. (ITIA-CNR) (literal)
Titolo
  • Advanced automation solutions for future adaptive factories (literal)
Abstract
  • Factories of the future must be capable to adapt themselves to continuously changing market demand. Therefore new manufacturing technologies are needed: from agile operating machines up to internet based services. In particular, new advanced automation solutions, that integrate all factory levels in a unique real time framework, are mandatory. Nowadays, neither accepted standards nor assessed development methodologies and software environments are available to support industries when facing such a crucial issue. In the present contribution an open and modular automation system architecture is proposed, based on emerging modelling paradigms and recent international standards. Furthermore, a methodology to develop self-adaptive factory automation solutions is illustrated, using a novel modular simulation based method to verify digitally - through a modular bottom up approach - the correctness of real size automation systems. The proposed framework has been applied to a highly innovative reconfigurable factory for personalised shoes production. Such a real-size industrial application proves the effectiveness and the benefits of the presented methods for the development of complex automation solutions for high value added production systems. (literal)
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