Repair Policy With Mth Failur For K-out-of-n System

This paper mainly worked on the definite number repair policy for k/n (G) system under the situation that the components couldn’t be as new as original ones after repaired.Based on the general definite number repair policy, the components’reliability and maintainability are considered exponential in this paper. Failure rate increase factor and repair rate decreasing factor are introduced to in order to measure the performance of the components, the reliability of the components decrease as the operating time pass by,which means that the failure rate should be increasing, while the time components reach for the threshold value of reliability reducing. Meanwhile, the components’ maintainability is shrinking with the increase of the number of repair under the same maintain situation and time, that is to say, the time that the repair needs will mount up.This paper propose a repair policy problem that the system will not be repaired until the failure component number of k/n (G)system reach a certain number m. The repairment quantity divide the total number of components, and therefore set the original number of components for each working cycle, which will be affected by that of the previous one. This phenomenon is not the Markov progress as relating to history. And based on this phenomenon, this paper is by using operational availability as decision function to make sure the best Cumulative number of components mAt last, the paper set up the operational availability model aim at one maintenance worker and enough maintenance workers situation under the definite number repair policy for k/n (G) system. By using the matlab Software programming, the best m which make operational availability maximum was found.