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Phase-out maintenance optimization for an aircraft fleet
Systecon, Stockholm, Sweden.
Systecon, Stockholm, Sweden.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Saab Support and Services, Logistics Analysis and Fleet Monitoring, Lifecycle Logistics Division.
Systecon, Stockholm, Sweden.
Number of Authors: 4
2017 (English)In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 188, 105-115 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel approach for cost-effective optimization of stop-maintenance strategies for a set of repairable items (rotables). The optimization method has two steps. First, the novel concept of matrix simulations is introduced to locate the solution space of the optimization problem in question. Second, a genetic algorithm is applied to find the minimum cost solution. The combination of matrix simulations and genetic algorithm is shown to constitute a powerful method for solving the optimization problem in a fast manner. To demonstrate the efficacy of the proposed method, it is compared with a crude search, and a steepest descent algorithm. Our proposed method is faster than the crude search and also locates the optimum more often than the steepest descent search. The method is illustrated by applying it to a phase-out scenario of an aircraft fleet, where the optimal stop-maintenance strategy is determined for a set of rotables.

Place, publisher, year, edition, pages
2017. Vol. 188, 105-115 p.
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-61342DOI: 10.1016/j.ijpe.2017.01.002ISI: 000401381300010Scopus ID: 2-s2.0-85016421015OAI: oai:DiVA.org:ltu-61342DiVA: diva2:1063191
Note

Validerad; 2017; Nivå 2; 2017-04-03 (rokbeg)

Available from: 2017-01-09 Created: 2017-01-09 Last updated: 2017-06-02Bibliographically approved

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