Maintenance Activities Planning by Integrating Computer Simulation and Data Envelopment Analysis

Many serious accidents have happened in the world where systems have been large-scale and complex, and have caused heavy damage and a social sense of instability. Furthermore, advanced nations have almost finished public infrastructure and rushed into a maintenance period. Maintenance will be more important than production, manufacture, and construction, that is, more maintenance for environmental considerations and for the protection of natural resources. From now on, the importance of maintenance will increase more and more. In the past four decades, valuable contributions to maintenance policies in reliability theory have been made.
In this thesis, maintenance activities planning problem is considered. First, maintenance activities are simulated via Awesim. Production and maintenance functions are estimated using historical data. Then simulation is carried out for different scenarios which are combinations of periodic maintenance, and outputs are computed. Since the problem is multi-criteria, data envelopment analysis (DEA) method is used to select the preferred policy.