Phase Out Maintenance Optimization

Olle Wijk
Systecon AB, Stockholm, Sweden

Patric Andersson
P2J Solutions AB, Stockholm, Sweden

Jan Block
Saab Support and Services, Arboga, Sweden

Thord Righard
Systecon AB, Stockholm, Sweden

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp19162026

Ingår i: FT2019. Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

Linköping Electronic Conference Proceedings 162:26, s. 225-230

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Publicerad: 2019-10-23

ISBN: 978-91-7519-006-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


This research studies the performance of an optimization technique for phase out optimization of technical systems. The optimization search is done by a genetic algorithm where good candidate samples can be drawn and evaluated in a fast manner using a novel concept denoted matrix simulation. 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 repairable items (rotables). The main contribution of this paper is a parametric study of how the optimization search is expected to perform when varying the sampleset and problem size. In the parametric study the genetic algorithm result is compared against the real optimum which was found in a separate time-consuming brute force search, going through all possible solutions.


phase-out, maintenance optimization, genetic algorithm, matrix simulations


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