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Feature-based function block control framework for manufacturing equipment in cloud environments
Univ Skovde, Virtual Syst Res Ctr, Skovde, Sweden..
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
Univ Skovde, Virtual Syst Res Ctr, Skovde, Sweden..
2019 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 12, p. 3954-3974Article in journal (Refereed) Published
Abstract [en]

The ability to adaptively control manufacturing equipment in cloud environments is becoming increasingly more important. Industry 4.0, supported by Cyber Physical Systems and the concept of on-demand, scalable and pay-for-usage resource-sharing in cloud environments offers many promises regarding effective and flexible manufacturing. For implementing the concept of manufacturing services in a cloud environment, a cloud control approach for the sharing and control of networked manufacturing resources is required. This paper presents a cloud service-based control approach which has a product perspective and builds on the combination of event-driven IEC 61499 Function Blocks and product manufacturing features. Distributed control is realised through the use of a networked control structure of such Function Blocks as decision modules, enabling an adaptive run-time behaviour. The control approach has been developed and implemented as prototype systems for both local and distributed manufacturing scenarios, in both real and virtual applications. An application scenario is presented to demonstrate the applicability of the control approach. In this scenario, Assembly Feature-Function Blocks for adaptive control of robotic assembly tasks have been used.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD , 2019. Vol. 57, no 12, p. 3954-3974
Keywords [en]
manufacturing feature, adaptive control, cloud manufacturing
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-255487DOI: 10.1080/00207543.2018.1542178ISI: 000474250800011Scopus ID: 2-s2.0-85057893093OAI: oai:DiVA.org:kth-255487DiVA, id: diva2:1352706
Note

QC 20190919

Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-10-10Bibliographically approved

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Wang, Lihui

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf