Asymptotic analysis of stochastic block replacement policies for multicomponent systems in a Markov environment

An asymptotic analysis of stochastic block replacement policies for a multicomponent system with fast Markov switches is provided. It is proved that this system can be approximated by a simpler system with exponential failures and averaged failure rates. The optimality of the long-run cost function is studied, as well.