his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
A linked data approach for the connection of manufacturing processes with production simulation models
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-1679-3319
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-9690-890X
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 70, p. 440-445Article in journal (Refereed) Published
Abstract [en]

This paper discusses the expected benefits of using linked data for the tasks of gathering, managing and understanding the data of smart factories. It has the further specific focus of using this data to maintaining a Digital Twin for the purposes of analysis and optimisation of such factories. The proposals are motivated by the use of an industrial example looking at the types of information required, the variation in data which is available and the requirements of an analysis platform to provide parameters for seamless, automated simulation and optimisation. 

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 70, p. 440-445
Keywords [en]
Smart Factory, Digital Twin, Linked Data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-16005DOI: 10.1016/j.procir.2018.03.243ISI: 000437126800074Scopus ID: 2-s2.0-85051264447OAI: oai:DiVA.org:his-16005DiVA, id: diva2:1234024
Conference
28th CIRP Design Conference, Nantes, France, May 23-25, 2018
Projects
TWINAvailable from: 2018-07-20 Created: 2018-07-20 Last updated: 2018-11-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Senington, RichardNg, AmosOscarsson, Jan

Search in DiVA

By author/editor
Senington, RichardBaumeister, FabianNg, AmosOscarsson, Jan
By organisation
School of Engineering ScienceThe Virtual Systems Research Centre
In the same journal
Procedia CIRP
Electrical Engineering, Electronic Engineering, Information EngineeringComputer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 248 hits
CiteExportLink to record
Permanent link

Direct link
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