Exploiting Augmented Reality in Lean Manufacturing: Opportunities and Challenges (Contributo in volume (capitolo o saggio))

Type
Label
  • Exploiting Augmented Reality in Lean Manufacturing: Opportunities and Challenges (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-319-00557-7_110 (literal)
Alternative label
  • Francesco Capozzi, Marco Sacco (2013)
    Exploiting Augmented Reality in Lean Manufacturing: Opportunities and Challenges
    Springer International Publishing AG, Berlin (Germania) in Advances in Sustainable and Competitive Manufacturing Systems, 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Francesco Capozzi, Marco Sacco (literal)
Pagina inizio
  • 1361 (literal)
Pagina fine
  • 1373 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-319-00557-7_110 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Advances in Sustainable and Competitive Manufacturing Systems (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Industrial Technology and Automation, National Research Council, 70125, Bari, Italy (literal)
Titolo
  • Exploiting Augmented Reality in Lean Manufacturing: Opportunities and Challenges (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-319-00557-7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
  • Américo Azevedo (literal)
Abstract
  • The purpose of this paper is to investigate Augmented Reality applied into a real industrial context (Industrial AR) from a new perspective: AR is not anymore seen as a standalone technology for assisting specific manufacturing tasks, but rather as a totally integrated framework within future factory workplaces. In the last 15 years, both academic and industrial research communities have seen the huge potentiality of AR in improving industrial performances in several scenarios, but it is undeniable that no killer-apps or de-facto standard as well as scalable solutions have been developed yet. The paper addresses the issue from a new and different point of view showing how AR can potentially be exploited in order to boost lean-based manufacturing and management processes, thus guaranteeing more efficient production and higher competitiveness. The paper is organized with the aim to underline the new and feasible opportunities offered by the proposed approach, as well as the main technological and conceptual challenges connected to it. Finally, a potential framework capable of enabling AR features for visual management in real factories is proposed. (literal)
Editore
Autore CNR

Incoming links:


Autore CNR di
Editore di
data.CNR.it