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Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making
RISE, Swedish ICT, SICS.
Number of Authors: 4
2014 (English)Conference paper (Refereed)
Abstract [en]

One of the most important factors in the operations of many cooperations today is to maximize profit and one important tool to that effect is the optimization of maintenance activities. Maintenance activities is at the largest level divided into two major areas, corrective maintenance (CM) and preventive maintenance (PM). When optimizing maintenance activities, by a maintenance plan or policy, we seek to find the best activities to perform at each point in time, be it PM or CM. We explore the use of stochastic simulation, genetic algorithms and other tools for solving complex maintenance planning optimization problems in terms of a suggested framework model based on discrete event simulation.

Place, publisher, year, edition, pages
2014, 6.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-24438OAI: oai:DiVA.org:ri-24438DiVA: diva2:1043519
Conference
10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

Open Access in DiVA

fulltext(507 kB)4 downloads
File information
File name FULLTEXT01.pdfFile size 507 kBChecksum SHA-512
355b0b81eeee50414003a2e02685edfa39a9823559b3d8b48980a55c7cd2fd87cc09030427341679783381ed450fd23a1987b3ff48a4495eed9b65c9ff0e2e52
Type fulltextMimetype application/pdf

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Tahvili, SaharSilvestrov, Sergei
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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
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf