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An Improved Optimization Algorithm for Aeronautical Maintenance and Repair Task Scheduling Problem

Author

Listed:
  • Changjiu Li

    (School of Basic Science for Aviation, Naval Aviation University, Yantai 264001, China)

  • Yong Zhang

    (School of Basic Science for Aviation, Naval Aviation University, Yantai 264001, China
    Department of Precision Instrument, Tsinghua University, Beijing 100084, China)

  • Xichao Su

    (School of Basic Science for Aviation, Naval Aviation University, Yantai 264001, China)

  • Xinwei Wang

    (State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China)

Abstract

The maintenance of carrier-based aircraft is a critical factor restricting the availability of aircraft fleets and their capacity to sortie and operate. In this study, an aeronautical maintenance and repair task scheduling problem for carrier-based aircraft fleets in hangar bays is investigated to improve the maintenance efficiency of aircraft carrier hangar bays. First, the operational process of scheduling aeronautical maintenance tasks is systematically analyzed. Based on maintenance resource constraints and actual maintenance task requirements, a wave availability index and load balance index for the maintenance personnel are proposed for optimization. An aeronautical maintenance task scheduling model is formulated for carrier-based aircraft fleets. Second, model abstraction is performed to simulate a multi-skill resource-constrained project scheduling problem, and an improved teaching-learning-based optimization algorithm is proposed. The algorithm utilizes a serial scheduling generation scheme based on resource constraint advancement. Finally, the feasibility and effectiveness of the modeling and algorithm are verified by using simulation cases and algorithm comparisons. The improved teaching-learning-based optimization algorithm exhibits improved solution stability and optimization performance. This method provides theoretical support for deterministic aeronautical maintenance scheduling planning and reduces the burden associated with manual scheduling and planning.

Suggested Citation

  • Changjiu Li & Yong Zhang & Xichao Su & Xinwei Wang, 2022. "An Improved Optimization Algorithm for Aeronautical Maintenance and Repair Task Scheduling Problem," Mathematics, MDPI, vol. 10(20), pages 1-25, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:20:p:3777-:d:941356
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    References listed on IDEAS

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