In this thesis the maintenance scheduling optimization problem of a multi-component system is formulated as a multi-objective stochastic dynamic problem, which is solved by first transforming the multi-objective formulation into a single-objective one via the weighted-sum method, and then using an iterated two-stage stochastic linear programming approach to solve the stochastic problem. The main application is the maintenance of a commercial gas turbine aero-engine. The model determines optimal opportunistic replacement schedules considering both deterministic and stochastic engine configurations. The proposed methodology provides maintenance planners with a decision tool that simultaneously minimizes the expected total cost of providing the maintenance service, and the expected total number of service interruptions due to maintenance during a finite horizon. The analysis presented in this thesis considers the indentured configuration of a modular aero-engine and investigates the sensitivity of the solutions to variations in a number of critical parameters.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:555091 |
| Date | January 2010 |
| Creators | Pedraz, Ana Mana |
| Publisher | Kingston University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://eprints.kingston.ac.uk/20875/ |
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