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Product lifecycle management with provenance management and virtual models: an industrial use-case study
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0001-7612-4470
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0001-9690-890X
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Information Systems)ORCID iD: 0000-0002-9421-8566
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2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 6p. 1190-1195Article in journal (Refereed) Published
Abstract [en]

Saving and managing virtual models’ provenance information (models’ history) can increase the level of reusability of those models. This paper describes a provenance management system (PMS) that has been developed based on an industrial case study.

The product lifecycle management (PLM) system, as a main data management system, is responsible for receiving virtual models and their related data from Computer-Aided technologies (CAx) and providing this information for the PMS. In this paper, the management of discrete event simulation data with the PLM system will be demonstrated as the first link of provenance data management chain (CAx-PLM-PMS).

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 72, p. 6p. 1190-1195
Keywords [en]
Discrete event simulation, Provenance, Product lifecycle
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering; Information Systems
Identifiers
URN: urn:nbn:se:his:diva-15920DOI: 10.1016/j.procir.2018.03.157Scopus ID: 2-s2.0-85049581305OAI: oai:DiVA.org:his-15920DiVA, id: diva2:1230467
Conference
51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018), 16-18 May 2018, Stockholm, Sweden
Available from: 2018-07-03 Created: 2018-07-03 Last updated: 2018-10-31Bibliographically approved

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Morshedzadeh, ImanOscarsson, JanNg, Amos H. C.Jeusfeld, Manfred A.

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