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To accurately plan the staffing ratio of aircraft flight support personnel and improve support efficiency, this study investigates optimization methods for allocating support resources under conventional conditions. By analyzing the current state of aviation maintenance support and the characteristics of military and civilian aircraft support domestically and internationally, a configuration model incorporating multiple constraints was established. These constraints include minimum personnel requirements for single and parallel tasks, acceptable flight preparation time limits, maintenance specialty setup restrictions, and personnel workload limitations. Based on the configured personnel count, matched processes and division of labor were designed, followed by onboard validation. The results confirmed that flight preparation time, workload, and quality control all met maintenance requirements. The practical application results show that this method is reliable and effective, capable of guiding flight support resource allocation for various aircraft types, and holds significant potential for broader application.

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Research and Application of Optimization Configuration Method for Aircraft Flight Support Forces Based on Multi-factor Constraints

  • 会议论文

  • 发表日期：

    2026年

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  • Pan Liu,
  • Wei Xue,
  • Jun Zhou,
  • Jia Xu

摘要

To accurately plan the staffing ratio of aircraft flight support personnel and improve support efficiency, this study investigates optimization methods for allocating support resources under conventional conditions. By analyzing the current state of aviation maintenance support and the characteristics of military and civilian aircraft support domestically and internationally, a configuration model incorporating multiple constraints was established. These constraints include minimum personnel requirements for single and parallel tasks, acceptable flight preparation time limits, maintenance specialty setup restrictions, and personnel workload limitations. Based on the configured personnel count, matched processes and division of labor were designed, followed by onboard validation. The results confirmed that flight preparation time, workload, and quality control all met maintenance requirements. The practical application results show that this method is reliable and effective, capable of guiding flight support resource allocation for various aircraft types, and holds significant potential for broader application.