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Agent-based simulation fusion for improved decision making for service operations
Högskolan i Skövde.ORCID iD: 0000-0002-8305-4412
2009 (English)In: Proceedings of the 12th International Conference on Information Fusion, Seattle, US, Seattle, US, 2009, p. 998-1005Conference paper, Published paper (Refereed)
Abstract [en]

We use agent-based modeling and simulation to fuse data from multiple sources to estimate the state of some system properties. This implies that the real system of interest is modeled and simulated using agent principles. Using Monte-Carlo simulation, we estimate the values of some decision-relevant numerical properties. We use the estimated properties, such as utilization of resources and service levels, as a decision support for a Maintenance Service Provider. Our initial results indicate that this kind of fusion of information sources can improve the understanding of the problem domain (e.g. to what degree some critical properties influence service operations) and also generate a basis for decision-making.

Place, publisher, year, edition, pages
Seattle, US, 2009. p. 998-1005
Keywords [en]
Agent-based simulation fusion, Service operation, Agent-based modeling and simulation, Decision support
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:hig:diva-31874ISBN: 978-0-9824438-0-4 (print)OAI: oai:DiVA.org:hig-31874DiVA, id: diva2:1411194
Conference
12th International Conference on Information Fusion, Seattle, US
Available from: 2020-03-03 Created: 2020-03-03 Last updated: 2020-03-06Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf