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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
URN: urn:nbn:se:ri:diva-15625OAI: diva2:1036942
10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014
Available from: 2016-10-13 Created: 2016-10-13

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Österberg, JonasSilvestrov, SergeiBiteus, Jonas
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