Abstract
This paper focuses on the problem of developing a heuristic model for identical aircraft gas turbine engines maintenance interventions. Each turbine has some parts which requires replacement (changing the used part by a new one) at well determined periods. The maintenance problem of identical aircraft gas turbine engines will be addressed in this research, in order to maximize crafts operation time without affecting engine maintenance schedule. Maintaining the turbine is performed by using new or refurbished parts, at specific predetermined periods. These parts (new or refurbished) have a predetermined lifespan; this research discusses how to replace a sequence of turbine parts in the turbine maintenance process, in order to maximizing aircraft operating time. In this research, 4 heuristics were developed to achieve the proposed goal. analyzing the obtained results showed that heuristic \(R_4\) obtained the best \(Tu_{min}\) value.
The authors would like to thank the Deanship of Scientific Research at Majmaah University for supporting this work.
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The author would like to thank the Deanship of Scientific Research at Majmaah University for supporting this work.
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Jemmali, M., Melhim, L.K.B., Alharbi, M. (2020). Randomized-Variants Lower Bounds for Gas Turbines Aircraft Engines. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_94
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