Military aircraft flight and maintenance planning model considering heterogeneous maintenance tasks

Guesik Cha, Junseok Park and Ilkyeong Moon

Reliability Engineering and System Safety, 2023, vol. 239, issue C

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.

Keywords: Mixed integer linear programming; Flight and maintenance planning; Preventive maintenance; Fleet availability; Heuristic (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:239:y:2023:i:c:s0951832023004118

DOI: 10.1016/j.ress.2023.109497

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