Optimal sequencing of aircraft engine maintenance events using particle swarm optimization

<p>This research explores optimal sequencing of aircraft engine maintenance events. Due to the high ongoing maintenance costs and large capital investments required for supporting an aircraft engine fleet, the timing and associated costs of maintenance events are key to minimizing overall cost...

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Bibliographic Details
Main Author:	Vander Linde, Rebecca Behrends
Other Authors:	Hugh R. Medal
Format:	Others
Language:	en
Published:	MSSTATE 2016
Subjects:	Industrial and Systems Engineering
Online Access:	http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-224527/

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spelling	ndltd-MSSTATE-oai-library.msstate.edu-etd-10272016-2245272019-05-15T18:43:59Z Optimal sequencing of aircraft engine maintenance events using particle swarm optimization Vander Linde, Rebecca Behrends Industrial and Systems Engineering <p>This research explores optimal sequencing of aircraft engine maintenance events. Due to the high ongoing maintenance costs and large capital investments required for supporting an aircraft engine fleet, the timing and associated costs of maintenance events are key to minimizing overall costs for an airline. This paper examines a novel application of particle swarm optimization techniques in order to create a decision tool which may be easily implemented by the practitioner. Numerical experiments demonstrate the quality of this solution method under multiple maintenance pricing structures and operational constraints.</p> Hugh R. Medal Mohammad Marufuzzaman Frank Adams MSSTATE 2016-11-21 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-224527/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-224527/ en restricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report.
collection	NDLTD
language	en
format	Others
sources	NDLTD
topic	Industrial and Systems Engineering
spellingShingle	Industrial and Systems Engineering Vander Linde, Rebecca Behrends Optimal sequencing of aircraft engine maintenance events using particle swarm optimization
description	<p>This research explores optimal sequencing of aircraft engine maintenance events. Due to the high ongoing maintenance costs and large capital investments required for supporting an aircraft engine fleet, the timing and associated costs of maintenance events are key to minimizing overall costs for an airline. This paper examines a novel application of particle swarm optimization techniques in order to create a decision tool which may be easily implemented by the practitioner. Numerical experiments demonstrate the quality of this solution method under multiple maintenance pricing structures and operational constraints.</p>
author2	Hugh R. Medal
author_facet	Hugh R. Medal Vander Linde, Rebecca Behrends
author	Vander Linde, Rebecca Behrends
author_sort	Vander Linde, Rebecca Behrends
title	Optimal sequencing of aircraft engine maintenance events using particle swarm optimization
title_short	Optimal sequencing of aircraft engine maintenance events using particle swarm optimization
title_full	Optimal sequencing of aircraft engine maintenance events using particle swarm optimization
title_fullStr	Optimal sequencing of aircraft engine maintenance events using particle swarm optimization
title_full_unstemmed	Optimal sequencing of aircraft engine maintenance events using particle swarm optimization
title_sort	optimal sequencing of aircraft engine maintenance events using particle swarm optimization
publisher	MSSTATE
publishDate	2016
url	http://sun.library.msstate.edu/ETD-db/theses/available/etd-10272016-224527/
work_keys_str_mv	AT vanderlinderebeccabehrends optimalsequencingofaircraftenginemaintenanceeventsusingparticleswarmoptimization
_version_	1719086284035588096

Optimal sequencing of aircraft engine maintenance events using particle swarm optimization

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