유전자 알고리즘을 이용한 도시철도차량의 예방정비주기 최적화에 관한 연구

초록

Recently, system including aircraft, train, and ship is more complex and huger. These systems are used to public transport to a lot of people. Accordingly, safety becomes to more important problem. But excessive maintenance cause a lot of maintenance cost. So we need maintenance cost reduce by efficiency operating. In this research, we found the optimum maintenance cycle using genetic algorithm. This result can be applied to RCM(Reliability Centered Maintenance) and web-based Reliability Information Management System that requires optimum maintenance cycle and cost.