AI 中文总结
针对国防领域飞行与维修规划中的非理想条件，提出一种混合整数多年期规划策略，通过多目标优化、滚动时域、贝叶斯调参及飞机特定加权，最大化机队长期可用性，并在三个基准场景中验证有效性。
AI 中文摘要
虽然现有的国防领域飞行与维修规划策略通常针对理想化条件，但实际规划往往涉及非标称的初始机队状态和复杂的检查方案。为应对这些挑战，我们提出了一种旨在最大化长期机队可用性的多年期规划策略。该公式整合了多个相互竞争的目标，以捕捉飞机使用与维修之间的紧密耦合，同时强制执行周期性检查要求和有限的维修坞容量。为增强实际适用性，我们引入了三种互补策略：一种用于降低计算负担的滚动时域方法、一种用于自动调整成本函数系数的贝叶斯优化程序，以及一种根据机队状况统计调整模型优先级的飞机特定加权方案。在三个现实基准场景上的结果表明了该方法的有效性。
英文摘要
While existing strategies for Flight and Maintenance Planning for the defense sector generally address idealized conditions, real-world planning often involve non-nominal initial fleet states and complex inspection schemes. To address these challenges, we propose a multi-year planning strategy that maximizes long-term fleet availability. The formulation incorporates multiple competing objectives capturing the tight coupling between aircraft usage and maintenance, while enforcing cyclic inspection requirements and limited maintenance-dock capacity. To enhance practical applicability, we introduce three complementary strategies: a receding-horizon approach to reduce computational burden, a Bayesian Optimization routine to automatically tune cost-function coefficients, and an aircraft-specific weighting scheme that adapts model priorities based on fleet-condition statistics. Results on three realistic benchmark scenarios demonstrate the effectiveness of the approach.
