Mathematical Approach for System Repair Rate Analysis Used in Maintenance Decision Making

Reliability, the number of spare parts and repair time have a great impact on system availability. In this paper, we observed repairable comprised several components. The aim was to determine rate by emphasizing its stochastic nature. A model for statistical analysis component in function desired level availability is presented. Furthermore, based presented model, approach calculation probability density functions maximal minimal times components developed as an important measure that unambiguously defines total annual time. obtained generalized analytical expressions can be used predict entity are main contributions manuscript. outputs useful making decisions which interval or replacement should done maintain addition planning maintenance activities, models could service capacity dynamic forecasting characteristics.