Dynamic preventive maintenance scheduling of the modules of fighter aircraft based on random effects regression model

Abstract

Proper maintenance of fighter aircraft is an important issue to control the airpower. Typical maintenance policy applied is based on the constant schedule for a given module. This kind of maintenance does not take into account varying characteristics of the module over time. In this paper, we utilize the random effects Weibull regression model for non-constant MTBF (mean time between failure) and MTTR (mean time to repair) in order to provide a dynamic preventive maintenance schedule reflecting the module's varying characteristics in a timely manner. Our study is expected to contribute to ROKA (Republic of Korea Airforce) in terms of improving the level of combat readiness of fighter aircraft.

Keywords:

• dynamic preventive maintenance
• fighter aircraft
• random effects Weibull-inverse gamma regression model
• MTBF
• MTTR

Acknowledgements

This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2007-614-D00021).