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Military aircraft flight and maintenance planning model considering heterogeneous maintenance tasks

Author

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  • Cha, Guesik
  • Park, Junseok
  • Moon, Ilkyeong

Abstract

This paper focuses on the military aircraft flight and maintenance planning (MAFMP) problem, aiming to maximize aircraft availability. We consider heterogeneous maintenance tasks: usage-based maintenance tasks (UBMTs) to be performed before the cumulative flight time of an aircraft reaches a predetermined threshold, and calendar-based maintenance tasks (CBMTs) to be performed before the cumulative calendar time of an aircraft reaches a predetermined threshold. The MAFMP problem is a complicated problem that often needs to be solved by military operators, and the optimization of this is essential for military readiness. We formulated a mixed integer linear programming (MILP) model to solve the problem and obtained managerial insights that we recommend for military operators in experiments with varying parameter values. We also proposed two heuristic algorithms that can solve large problems in a reasonable time. The results of the computational experiment show the efficiency and effectiveness of these algorithms in several problem instances.

Suggested Citation

  • Cha, Guesik & Park, Junseok & Moon, Ilkyeong, 2023. "Military aircraft flight and maintenance planning model considering heterogeneous maintenance tasks," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
  • Handle: RePEc:eee:reensy:v:239:y:2023:i:c:s0951832023004118
    DOI: 10.1016/j.ress.2023.109497
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    References listed on IDEAS

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    1. Zhang, Nan & Deng, Yingjun & Liu, Bin & Zhang, Jun, 2023. "Condition-based maintenance for a multi-component system in a dynamic operating environment," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    2. Shi, Yue & Zhu, Weihang & Xiang, Yisha & Feng, Qianmei, 2020. "Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    3. Cheng, Yao & Wei, Yian & Liao, Haitao, 2022. "Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    4. Niu, Gang & Yang, Bo-Suk & Pecht, Michael, 2010. "Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 786-796.
    5. Dinh, Duc-Hanh & Do, Phuc & Iung, Benoit, 2022. "Multi-level opportunistic predictive maintenance for multi-component systems with economic dependence and assembly/disassembly impacts," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    6. Dimitris Bertsimas & Allison Chang & Velibor V. Mišić & Nishanth Mundru, 2019. "The Airlift Planning Problem," Transportation Science, INFORMS, vol. 53(3), pages 773-773, May.
    7. Selvik, J.T. & Aven, T., 2011. "A framework for reliability and risk centered maintenance," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 324-331.
    8. Gavranis, Andreas & Kozanidis, George, 2015. "An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and maintenance requirements," European Journal of Operational Research, Elsevier, vol. 242(2), pages 631-643.
    9. Deng, Qichen & Santos, Bruno F. & Curran, Richard, 2020. "A practical dynamic programming based methodology for aircraft maintenance check scheduling optimization," European Journal of Operational Research, Elsevier, vol. 281(2), pages 256-273.
    10. George Kozanidis & Andreas Gavranis & George Liberopoulos, 2014. "Heuristics for flight and maintenance planning of mission aircraft," Annals of Operations Research, Springer, vol. 221(1), pages 211-238, October.
    11. Meissner, Robert & Rahn, Antonia & Wicke, Kai, 2021. "Developing prescriptive maintenance strategies in the aviation industry based on a discrete-event simulation framework for post-prognostics decision making," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    12. Carlos Lagos & Felipe Delgado & Mathias A. Klapp, 2020. "Dynamic Optimization for Airline Maintenance Operations," Transportation Science, INFORMS, vol. 54(4), pages 998-1015, July.
    13. Nima Safaei & Dragan Banjevic & Andrew Jardine, 2011. "Workforce-constrained maintenance scheduling for military aircraft fleet: a case study," Annals of Operations Research, Springer, vol. 186(1), pages 295-316, June.
    14. Zhang, Xiaohong & Liao, Haitao & Zeng, Jianchao & Shi, Guannan & Zhao, Bing, 2021. "Optimal Condition-based Opportunistic Maintenance and Spare Parts Provisioning for a Two-unit System using a State Space Partitioning Approach," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    15. Franco Peschiera & Robert Dell & Johannes Royset & Alain Haït & Nicolas Dupin & Olga Battaïa, 2021. "A novel solution approach with ML-based pseudo-cuts for the Flight and Maintenance Planning problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(3), pages 635-664, September.
    16. Xu, Jun & Liang, Zhenglin & Li, Yan-Fu & Wang, Kaibo, 2021. "Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
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