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
Simulation Data Management in a Product Lifecycle Management Context
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Användarcentrerad produktdesign, User Centred Product Design)
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
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem (IS), Information Systems)ORCID iD: 0000-0002-9421-8566
2017 (English)In: Advances in Manufacturing Technology XXXI: Proceedings of the 15th International Conference on Manufacturing Research, Incorporating the 32nd National Conference on Manufacturing Research, September 5–7, 2017, University of Greenwich, UK / [ed] James Gao, Mohammed El Souri, Simeon Keates, Amsterdam: IOS Press, 2017, p. 476-481Conference paper, Published paper (Refereed)
Abstract [en]

Reuse of virtual engineering models and simulations improves engineering efficiency. Reuse requires preserving the information provenance. This paper suggests a framework based on the 7W data provenance model to be part of simulation data management implemented in product lifecycle management systems. The resulting provenance framework is based on a case study in which a product was re-engineered using finite element analysis.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2017. p. 476-481
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 6
Keywords [en]
Provenance, Virtual Engineering, Product Lifecycle Management
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; Information Systems; User Centred Product Design; INF201 Virtual Production Development
Identifiers
URN: urn:nbn:se:his:diva-14502DOI: 10.3233/978-1-61499-792-4-476ISI: 000440620700076Scopus ID: 2-s2.0-85028424715ISBN: 978-1-61499-792-4 (electronic)ISBN: 978-1-61499-791-7 (print)ISBN: 978-1-61499-439-8 OAI: oai:DiVA.org:his-14502DiVA, id: diva2:1158759
Conference
15th International Conference on Manufacturing Research ICMR 2017. Incorporating the 32nd National Conference on Manufacturing Research. University of Greenwich, London, September 5-7, 2017
Funder
Knowledge FoundationAvailable from: 2017-11-21 Created: 2017-11-21 Last updated: 2018-11-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Iriondo, AitorOscarsson, JanJeusfeld, Manfred A.

Search in DiVA

By author/editor
Iriondo, AitorOscarsson, JanJeusfeld, Manfred A.
By organisation
School of Engineering ScienceThe Virtual Systems Research CentreSchool of InformaticsThe Informatics Research Centre
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 521 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