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Challenges of Simulation- ased Optimization in Facility Layout Design of Production Systems
Production and Automation Engineering Division, University of Skovde, Sweden.
Production and Automation Engineering Division, University of Skovde, Sweden.
Production and Automation Engineering Division, University of Skovde, Sweden.
2019 (English)In: Advances in Transdisciplinary Engineering, IOS Press BV , 2019, p. 507-512Conference paper, Published paper (Refereed)
Abstract [en]

Facility layout design (FLD) is becoming more challenging than ever as manufacturing moves from a traditional emphasis on mass production to an emphasis on mass customization, which requires increased flexibility and adaptability. Of the software tools that support FLD, simulation and optimization are the most powerful - especially when combined in simulation-based optimization (SBO). The aim of this study is to identify the challenges of using SBO in FLD of production systems. To date, the challenges of SBO and FLD have been addressed in separate streams of literature. This paper also presents two novel contributions based on two case studies involving Swedish manufacturers. First, it shows that the challenges of using SBO in FLD identified in the literature are not the most important in industrial environments, where precedence must be given to the challenges of complexity, data noise, and standardization. Second, it shows that the challenges of SBO in FLD are not technological in nature but stem from the increased complexity of the factories required by modern manufacturing companies.

Place, publisher, year, edition, pages
IOS Press BV , 2019. p. 507-512
Keywords [en]
challenges, facility layout design, Simulation-based optimization, Computer aided software engineering, Computer software, Industrial research, Optimization, Plant layout, Increased flexibility, Industrial environments, Manufacturing companies, Mass customization, Production system, Simulation and optimization, Simulation-based optimizations, Manufacture
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:mdh:diva-58830DOI: 10.3233/ATDE190089Scopus ID: 2-s2.0-85102887728ISBN: 9781614994398 (print)OAI: oai:DiVA.org:mdh-58830DiVA, id: diva2:1668646
Conference
17th International Conference on Manufacturing Research, ICMR 2019, incorporating the 34th National Conference on Manufacturing Research, NCMR 2019, 10 September 2019 through 12 September 2019
Available from: 2022-06-13 Created: 2022-06-13 Last updated: 2022-06-13Bibliographically approved

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Flores-García, Erik

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CiteExportLink to record
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Cite
Citation style
  • apa
  • 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