Enhancing Aircraft Maintenance Efficiency through a Web-Based Scheduling System: A Case Study of KT-1B Woong Bee

Abstract

Aircraft maintenance scheduling is critical to ensuring operational readiness, safety, and cost efficiency in aviation systems. Conventional maintenance planning for the KT-1B Woong Bee aircraft is predominantly performed manually, increasing the risk of human error, data inconsistency, and scheduling inefficiencies. This study proposes a web-based maintenance scheduling system to automate and enhance maintenance planning processes. The system was developed using a structured software engineering approach and integrates automated computation of maintenance intervals, including next due and remaining usage time for each inspection component. Unlike existing maintenance management systems that primarily focus on data recording and visualization, the proposed system incorporates a validated computational scheduling mechanism that ensures consistency between manual and automated calculations while enabling real-time maintenance tracking. A case study was conducted using real maintenance data from the KT-1B Woong Bee aircraft, with system outputs validated against manual calculations. Results indicate identical outputs across all evaluated components, including Fuel Filter Element (2889.05; 117.75), Fuel Pump Outlet Filter (3007.5; 236.2), Low Pressure Filter Web (4119.25; 1347.95), and FCU Drive Shaft Bearing (5500; 2728.7), confirming system accuracy and reliability. Efficiency improvements were observed through reduced computation time, minimized human error, and enhanced data centralization. The novelty of this study lies in the integration of a rule-based maintenance computation model with a web-based architecture that ensures computational accuracy and supports decision-making in real operational environments. The proposed approach contributes to scalable and reliable digital transformation in aircraft maintenance systems.