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Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making

Authors:

Sahar Tahvili, Sergei Silvestrov , Jonas Österberg , Jonas Biteus

Publication Type:

Conference/Workshop Paper

Venue:

10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences


Abstract

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.

Bibtex

@inproceedings{Tahvili4145,
author = {Sahar Tahvili and Sergei Silvestrov and Jonas {\"O}sterberg and Jonas Biteus},
title = {Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making},
month = {July},
year = {2014},
booktitle = {10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences},
url = {http://www.es.mdu.se/publications/4145-}
}