Comparative Analysis of Hangar Intensity Based on Aircraft Base Maintenance Planning and Queuing Theory

Aircraft maintenance is essential to ensure operational safety and reliability. Hangar facilities play a significant role in various types of maintenance, such as base and line maintenance. However, limited hangar capacity and variations in maintenance duration often lead to aircraft queues, so an optimization analysis using Queuing Theory is required to improve hangar usage efficiency. This study aims to compare the intensity of hangar usage based on Aircraft Base Maintenance Planning (ABMP) data with the results of Queuing Theory calculations to optimize the allocation and effectiveness of aircraft maintenance. This study uses the Queuing Theory method with exponential distribution to analyze the aircraft queuing pattern in Hangar 1 and 3 of PT XYZ for January- June 2024. The data used includes the number of aircraft, types of maintenance (D-Check, C-Check, painting, and landing gear change), and Turn Around Time (TAT). Calculations are carried out to determine the level of service intensity, waiting time, and the number of aircraft in the queue. The analysis showed that the highest service intensity occurred at D-Check (126%), while the lowest was at L/G Change (38%). Overall, the service intensity in Hangars 1 and 3 reached 77%, with C-Check having the most representative queuing pattern of the overall maintenance system. These findings suggest that while hangar utilization is still within optimal limits, improved maintenance schedule management strategies are needed to reduce queues and increase operational efficiency.