마코프체인을 활용한 육군 활주로 보수 주기에 관한 연구

다국어 초록 (Multilingual Abstract)

Within the army, runways are essential facilities for utilizing aviation assets. They gradually incur damage over time but must be maintained to remain operational at all times. To ensure efficient budget utilization, a study was conducted to find the appropriate maintenance cycle. The condition of the runways was defined based on the rate of cracking and the amount of plastic deformation, with the maintenance cycle set as a variable. Through this, transition probabilities were calculated, and the transition matrix of the Markov chain was constructed. Subsequently, using the characteristics of the Markov chain, the time to reach an absorbing state (a state where the entire road requires repaving) and the number of maintenances in each state were calculated to estimate the expected daily cost. With the total repaving cycle, the total maintenance area, and the proportion of time spent in states requiring maintenance as constraints, the runway maintenance cycle that minimizes expected costs was calculated.