فهرست نشریات علمی دسترسی آزاد ایران

Aircraft Maintenance, Repair, and Overhaul (MRO) plays a crucial role in ensuring aviation safety, operational efficiency, and cost-effectiveness. Airlines must strategically decide between in-house and outsourced MRO services, each with distinct implications for cost structures, Turnaround Time (TAT), and regulatory compliance. This study presents a comparative analysis of in-house and outsourced MRO models, focusing on cost efficiency, workforce utilization, risk mitigation, and the application of predictive analytics in capacity planning. A mixed-methods research design was employed, integrating quantitative financial assessments, performance metrics, and qualitative insights from industry professionals. Findings indicate that while in-house MROs have lower labor costs and enhanced workforce availability, outsourced MROs demonstrate higher efficiency in TAT and scalability, benefiting from advanced predictive analytics and risk mitigation strategies. Outsourced MROs reduce TAT by 18% and achieve cost savings of up to 20% compared to in-house operations, primarily due to economies of scale and optimized workflow processes. However, in-house MROs offer greater control over compliance and workforce allocation, ensuring operational stability tailored to the airline's specific requirements. Predictive analytics further enhances maintenance planning, with outsourced MROs leveraging AI-driven insights to improve maintenance scheduling and achieve 18% cost reductions. This study has significant industry implications, offering strategic recommendations for airlines and MRO providers to optimize cost structures, workforce deployment, and regulatory alignment. Future research should explore integrating emerging technologies, such as AI and blockchain, to enhance decision-making in MRO operations.