Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Medal, Hugh R.

Committee Member

Marufuzzaman, Mohammad

Committee Member

Adams, Frank G.

Committee Member

Bullington, Stanley F.

Date of Degree

12-9-2016

Original embargo terms

MSU Only Indefinitely

Document Type

Graduate Thesis - Campus Access Only

Major

Industrial Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Industrial and Systems Engineering

Abstract

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.

URI

https://hdl.handle.net/11668/18951

Comments

Particle swarm optimization||aircraft maintenance

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