On reliability analysis of a k-out-of-n system with components having random weights

Consider a system consisting of n components each with its own positive integer-valued random weight (capacity). The system is assumed to have a performance level above c   if there are at least k working components, and the total weight of all working components is above c. We study the reliability properties of such a system. A recursive formula is obtained for computing the system state probabilities. We present a Monte-Carlo simulation algorithm to observe the time spent by the system in state c or above. The algorithm is based on the use of ordered lifetimes of components. We illustrate the results with numerical computations.

► A k-out-of-n system with components having random weights is studied. ► Reliability of a system is evaluated in both static and dynamic way. ► Some examples associated with queueing systems and shock models are given.