| Title |
Optimization of Maintenance Process for Military Facilities Using Risk-Based Asset Management (RBAM) |
| Authors |
Sang-Hun Jung ; Min-Jea Lee |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2026.27.5.024 |
| Keywords |
Military Facilities; Risk-based Asset Management; Inspection Interval; Monte Carlo Simulation; Life Cycle Cost |
| Abstract |
Military facilities are critical infrastructure directly linked to national security and require an efficient and systematic maintenance system even under constraints in manpower and budget. However, the current inspection system for military facilities applies inspection intervals based on condition ratings, which has limitations in that it does not sufficiently reflect various risk factors such as operational environment, mission criticality, and weather conditions. These limitations may lead to excessive inspections of low-risk facilities and insufficient management of high-risk facilities, resulting in inefficient use of manpower and budget. To address this issue, this study proposes a methodology for rationally adjusting inspection intervals by applying the concept of Risk-Based Asset Management (RBAM) to military airfield pavement facilities. A composite risk index integrating Hazard (H), Vulnerability (V), Consequence (C), and Uncertainty (U) was defined, and continuous and policy-based inspection interval adjustment models were developed based on this index. In addition, Monte Carlo simulation (10,000 iterations, Seed = 42) was performed to analyze the probabilistic characteristics and distribution of inspection interval changes. The results show that the average inspection interval is 4.73 years for the continuous model and 5.695 years (approximately 5.70 years) for the policy-based model. In particular, the policy-based model demonstrates an estimated 10?12% reduction in inspection activities in terms of inspection frequency. These findings suggest that RBAM-based inspection interval adjustment can simultaneously improve resource allocation efficiency and maintenance precision in military facility management. |