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Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

[+] Author Affiliations
Göran Adamson, Magnus Holm

University of Skövde, Skövde, Sweden

Lihui Wang

University of Skövde, Skövde, SwedenRoyal Institute of Technology, Stockholm, Sweden

Philip Moore

Falmouth University, Cornwall, UK

Paper No. MSEC2016-8771, pp. V002T04A019; 10 pages
doi:10.1115/MSEC2016-8771
From:
  • ASME 2016 11th International Manufacturing Science and Engineering Conference
  • Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing
  • Blacksburg, Virginia, USA, June 27–July 1, 2016
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4990-3
  • Copyright © 2016 by ASME

abstract

The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distributed manufacturing equipment.

In this paper, the technological perspective for an adaptive cloud service-based control approach is described, and a supporting information model for its implementation. The control is realized through the use of a network of intelligent and distributable Function Block decision modules, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the cloud service management functionality is described, as well as a feature-level capability model and the use of ontologies and the Semantic Web.

Copyright © 2016 by ASME

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