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Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde, Sweden.
2017 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 143, 305-315 p.Article in journal (Refereed) Published
Abstract [en]

Modern distributed manufacturing within Industry 4.0, supported by Cyber Physical Systems (CPSs), offers many promising capabilities regarding effective and flexible manufacturing, but there remain many challenges which may hinder its exploitation fully. One major issue is how to automatically control manufacturing equipment, e.g. industrial robots and CNC-machines, in an adaptive and effective manner. For collaborative sharing and use of distributed and networked manufacturing resources, a coherent, standardised approach for systemised planning and control at different manufacturing system levels and locations is a paramount prerequisite. In this paper, the concept of feature-based manufacturing for adaptive equipment control and resource task matching in distributed and collaborative CPS manufacturing environments is presented. The concept has a product perspective and builds on the combination of product manufacturing features and event-driven Function Blocks (FB) of the IEC 61499 standard. Distributed control is realised through the use of networked and smart FB decision modules, enabling the performance of collaborative runtime manufacturing activities according to actual manufacturing conditions. A feature-based information framework supporting the matching of manufacturing resources and tasks, as well as the feature-FB control concept, and a demonstration with a cyber-physical robot application, are presented.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 143, 305-315 p.
Keyword [en]
Cyber physical system, Adaptive manufacturing, Feature-based control, Feature-level capability model
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-208857DOI: 10.1016/j.jmsy.2016.12.003ISI: 000401390700010Scopus ID: 2-s2.0-85009518088OAI: oai:DiVA.org:kth-208857DiVA: diva2:1108782
Funder
Swedish Research Council, 20130303
Note

QC 20170613

Available from: 2017-06-13 Created: 2017-06-13 Last updated: 2017-06-13Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
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