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The Aircraft Maintenance Base Location Problem

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  • Gopalan, Ram

Abstract

Aviation authorities such as the Federal Aviation Administration (FAA) provide stringent guidelines for aircraft maintenance, with violations leading to significant penalties for airlines. Moreover, poorly maintained aircraft can lead to mass cancellation of flights, causing tremendous inconvenience to passengers and resulting in a significant erosion in brand image for the airline in question. Aircraft maintenance operations of a complex and extended nature can only be performed at designated maintenance bases. Aircraft maintenance planning literature has focused on developing good tail-number routing plans, while assuming that the locations of the maintenance bases themselves are fixed. This paper considers an inverse optimization problem, viz., locating a minimal number of maintenance bases on an Euler tour, while ensuring that all required aircraft maintenance activities can be performed with a stipulated periodicity. The Aircraft Maintenance Base Location Problem (AMBLP) is shown to be NP-complete and a new lower bound is developed for the problem. The performance of four simple “quick and dirty” heuristics for obtaining feasible solutions to AMBLP is analyzed.

Suggested Citation

  • Gopalan, Ram, 2014. "The Aircraft Maintenance Base Location Problem," European Journal of Operational Research, Elsevier, vol. 236(2), pages 634-642.
    • Handle: RePEc:eee:ejores:v:236:y:2014:i:2:p:634-642
    DOI: 10.1016/j.ejor.2014.01.007
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    Cited by:

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    3. Tönissen, D.D. & Arts, J.J., 2018. "Economies of scale in recoverable robust maintenance location routing for rolling stock," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 360-377.
    4. Denise D. Tönissen & Joachim J. Arts & Zuo-Jun (Max) Shen, 2019. "Maintenance Location Routing for Rolling Stock Under Line and Fleet Planning Uncertainty," Transportation Science, INFORMS, vol. 53(5), pages 1252-1270, September.
    5. Zhao, Xian & Lv, Zuheng & Qiu, Qingan & Wu, Yaguang, 2023. "Designing two-level rescue depot location and dynamic rescue policies for unmanned vehicles," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    6. Sheng, Jingyu & Prescott, Darren, 2019. "A coloured Petri net framework for modelling aircraft fleet maintenance," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 67-88.

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