Random fuzzy age-dependent replacement policy

Abstract

This paper discusses the age-dependent replacement policy, in which the interarrival lifetimes of components are characterized as random fuzzy variables. A random fuzzy expected value model is presented and shown how it can be applied to reduce the loss of system failures. To solve the proposed model, a simultaneous perturbation stochastic approximation (SPSA) algorithm based on random fuzzy simulation is developed to search the optimal solution. At the end of this paper, a numerical example is enumerated. © Springer-Verlag Berlin Heidelberg 2005.