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Factory flow design and analysis using internet-enabled simulation-based optimization and automatic model generation
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
2011 (English)In: Proceedings of the 2011 Winter Simulation Conference / [ed] S. Jain, R. Creasey & J. Himmelspach, IEEE conference proceedings, 2011, 2176-2188 p.Conference paper, Published paper (Refereed)
Abstract [en]

Despite simulation offers tremendous promise for designing and analyzing complex production systems, manufacturing industry has been less successful in using it as a decision support tool, especially in the early conceptual phase of factory flow design. If simulation is used today for system design, it is more often used in later phases when important design decisions have already been made and costs are locked. With an aim to advocate the use of simulation in early phases of factory design and analysis, this paper introduces FACTS Analyzer, a toolset developed based on the concept of integrating model abstraction, automatic model generation and simulation-based optimization under an innovative Internet-based platform. Specifically, it addresses a novel model aggregation and generation method, which when combined together with other system components, like optimization engines, can synthetically enable simulation to become much easier to use and speed up the time-consuming model building, experimentation and optimization processes, in order to support optimal decision making.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 2176-2188 p.
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5843DOI: 10.1109/WSC.2011.6147930ISI: 000300520802045Scopus ID: 2-s2.0-84858015005ISBN: 978-1-4577-2109-0 ISBN: 978-145772108-3 OAI: oai:DiVA.org:his-5843DiVA: diva2:524855
Conference
2011 Winter Simulation Conference. Phoenix, US. 11-14 Dec. 2011
Available from: 2012-05-04 Created: 2012-05-04 Last updated: 2015-12-18Bibliographically approved

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CiteExportLink to record
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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
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  • Other locale
More languages
Output format
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  • asciidoc
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