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Sensitivity analysis of optimization: Examining sensitivity of bottleneck optimization to input data models
University of Skövde, School of Engineering Science.
2016 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The aim of this thesis is to examine optimization sensitivity in SCORE to the accuracy of particular input data models used in a simulation model of a production line. The purpose is to evaluate if it is sufficient to model input data using sample mean and default distributions instead of fitted distributions. An existing production line has been modeled for the simulation study. SCORE is based on maximizing any key performance measure of the production line while simultaneously minimizing the number of improvements necessary to achieve maximum performance. The sensitivity to the input models should become apparent the more changes required. The experiments concluded that the optimization struggles to obtain convergence when fitted distribution models were used. Configuring the input parameters to the optimization might yield better optimization result. The final conclusion is that the optimization is sensitive to what input data models are used in the simulation model.

Place, publisher, year, edition, pages
2016. , p. 45
Keywords [en]
simulation, optimization, input modeling, probability distribution, simulation-based constraint removal, production systems
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:his:diva-12624OAI: oai:DiVA.org:his-12624DiVA, id: diva2:944556
External cooperation
Volvo GTO
Subject / course
Automation Engineering
Supervisors
Examiners
Available from: 2016-07-01 Created: 2016-06-29 Last updated: 2018-01-10Bibliographically approved

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Ekberg, Marie
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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