隨著後疫情時代全球航空產業復甦，航空客運需求強勁反彈，帶動了飛機維修、修理與翻修（MRO）市場的快速擴張，同時航空產業面臨資深技術人才大幅流失與新型機隊交機延遲的雙重挑戰，航空公司被迫延長現役機隊壽命，致使維修任務日益繁重。本研究旨在探討不同規劃視野下，民航機維修滾動排程之最佳化問題，以國內某專業航空維修公司為實證對象，建構多技能與棚廠設備資源限制「混合整數線性規劃（MILP）」模型，有別於傳統模型，本研究核心在於將維修人力細分為「一般維修」與「特定專業技能」，針對不同機型的混合停放模式，考量維修棚廠的空間容量與機型尺寸的相容限制，以確保排程方案符合實際營運之物理限制與產能瓶頸。
本研究全面剖析「短期滾動視窗」與「中長期全期最佳化」策略的營運績效差異，量化揭示全期視野在工單調度與成本防範上的顯著優勢，在管理應用價值上，研究不僅證實該排程最佳化能平衡技術人員工作負荷並提升資源效益，更透過敏感度分析識別出關鍵瓶頸技能組，補足了個案公司缺乏系統化排班的缺口。藉由本研究所建構的排程系統，企業能動態監控各類專業人力的運用率並預測未來人力短缺風險，據以研擬前瞻性的新進員工預聘與專長培訓計畫，以有效填補資深人員退休後產生的技術斷層，為企業提供一套具備實務應用價值的動態決策支援工具。

With the post-pandemic aviation recovery, the MRO (Maintenance, Repair, and Overhaul) market has expanded rapidly. Facing severe technical labor shortages and fleet aging, MRO providers must optimize scheduling to maintain operational resilience. This study investigates aircraft maintenance rolling horizon scheduling under different planning horizons, using a domestic MRO firm as an empirical case study. We construct a Mixed-Integer Linear Programming (MILP) model integrating multi-skilled workforce constraints and hangar capacity limitations. Unlike traditional approaches, our model differentiates between general and specialized technical skills, and accounts for aircraft compatibility and mixed-parking configurations to ensure practical feasibility.
This study comprehensively analyzes the performance differences between short-term rolling windows and mid-to-long-term global optimization, demonstrating the significant advantages of a global perspective in task scheduling and cost mitigation. Beyond balancing staff workloads and enhancing resource efficiency, the sensitivity analysis identifies critical bottleneck skill groups, bridging the gap in systematic scheduling for the case company. By utilizing the developed scheduling system, management can dynamically monitor specialized labor utilization and predict workforce shortage risks. This enables the formulation of proactive recruitment and training programs, effectively mitigating technical skill gaps caused by senior staff retirements and providing MRO operators with a practical dynamic decision-support tool.

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