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Strategic maintenance planning by fuzzy AHP and Markov Decision Processes
RISE, Swedish ICT, SICS.
Number of Authors: 3
2015 (English)Conference paper, (Refereed)
Abstract [en]

The work of engineering and business professionals includes making a series of decisions and optimizations. Real world decision making problems faced by decision makers (DM) involve multiple, usually conflicting, criteria. These multi-criteria decision making problems (MCDM) are usually complicated and large in scale. In strategic Maintenance planning, choices are made on where to focus time and effort, where to spend money. We consider a framework for strategic maintenance planning in a modern maintenance driven organization. Our focus is on a multi-stage framework in which the planning is divided into two stages, identifying an optimal set of possible actions and finding the optimal decision policy for these actions for each point in time as a function of the stochastically evolving system state. To this respect we consider the MCDM method of AHP (Analytical hierarchical programming) in a fuzzy environment, and Markov decision processes (MDP).

Place, publisher, year, edition, pages
2015, 6.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-24444OAI: oai:DiVA.org:ri-24444DiVA: diva2:1043525
Conference
16th conference of the Applied Stochastic Models and Data Analysis (ASMDA) International society
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
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