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A Study of Discrete Event Simulation Project Data and Provenance Information Management in an Automotive Manufacturing Plant
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and automation engineering)ORCID iD: 0000-0003-3541-9330
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
Volvo Car Corporation, Skövde, Sweden.
Volvo Car Corporation, Skövde, Sweden.
2017 (English)In: Proceedings of the 2017 Winter Simulation Conference / [ed] W. K. V. Chan, A. D’Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page, IEEE, 2017, , p. 12p. 4012-4023Conference paper, Published paper (Refereed)
Abstract [en]

Discrete Event Simulation (DES) project data management is a complex and important engineering activity which impacts on an organization’s efficiency. This efficiency could be decreased by the lack of provenance information or the unreliability of existing information regarding previous simulation projects, all of which complicates the reusability of the existing data. This study presents an analysis of the management of simulation projects and their provenance data, according to the different types of scenarios usually found at a manufacturing plant. A survey based on simulation projects at an automotive manufacturing plant was conducted, in order to categorize the information regarding the studied projects, map the available provenance data and standardize its management. This study also introduces an approach that demonstrates how a structured framework based on the specific data involved in the different types of scenarios could allow an improvement of the management of DES projects.

Place, publisher, year, edition, pages
IEEE, 2017. , p. 12p. 4012-4023
Series
Winter Simulation Conference (WSC), E-ISSN 1558-4305 ; 2017
National Category
Engineering and Technology Communication Systems Control Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14579DOI: 10.1109/WSC.2017.8248110ISI: 000427768604020Scopus ID: 2-s2.0-85044506370ISBN: 978-1-5386-3428-8 (electronic)ISBN: 978-1-5386-3429-5 (electronic)ISBN: 978-1-5386-3430-1 (print)OAI: oai:DiVA.org:his-14579DiVA, id: diva2:1166084
Conference
2017 Winter Simulation Conference, Las Vegas, December 3-6, 2017
Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2018-05-24Bibliographically approved

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Barrera Diaz, Carlos AlbertoOscarsson, Jan

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Citation style
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