Resource Utilization in Cloud Manufacturing – An Energy Perspective - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Resource Utilization in Cloud Manufacturing – An Energy Perspective

Tao Peng
  • Fonction : Auteur
  • PersonId : 997838
Shuiliang Fang
  • Fonction : Auteur
  • PersonId : 997839
Renzhong Tang
  • Fonction : Auteur
  • PersonId : 892419

Résumé

Living a “low-carbon” life has been widely recognized and is gradually adopted by the public. Such a trend becomes one of the main drivers for manufacturing innovations. Meanwhile, to meet the emerging requirements, such as providing highly customized product, building flexible and collaborative production, cloud manufacturing is proposed in recent years. A close examination of its environmental benefits is needed. In this paper, resource utilization is focused. In the architecture of cloud manufacturing, energy consumption is analyzed and re-evaluated systematically, including energy characteristics, added energy segments and required functions. Three key merits are identified, better resource integration and optimization, higher resource utility rate, and facilitated knowledge sharing mechanism. However, these improvements can be cancelled in an energy-unattended cloud manufacturing system, for example, ignorance of energy data or inadequate energy models. A framework is then designed for performing energy analysis in a cloud environment. Conclusions are given at the end.
Fichier principal
Vignette du fichier
346973_1_En_44_Chapter.pdf (398.4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01431119 , version 1 (10-01-2017)

Licence

Paternité

Identifiants

Citer

Tao Peng, Shuiliang Fang, Renzhong Tang. Resource Utilization in Cloud Manufacturing – An Energy Perspective. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2015, Tokyo, Japan. pp.379-387, ⟨10.1007/978-3-319-22759-7_44⟩. ⟨hal-01431119⟩
78 Consultations
137 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More