AbstractThis paper presents an enhanced reliability modelling and evalua.tion methodology using discrete-event simulation techniques. The proposed simulation methodology has the capability of estimating reliability, mean time to failure. and probability density function of time to failure for a complex network system. Two types of reliability simulation models are presented: a descriptive network simula.tion model and a direct Markov simulation model. Both models are capable of solving complex systems consisting of components with general failure rates. The discrete-event reliability models require only descriptive knowledge of network configuration rather than analytical network characteristics, such as cuts and ties. Examples are given to demonstrate the accuracy, computational ease, and relia.bility analysis capability of these models. SIMAN is the simulation language used for both reliability modelling and evaluation. The reliability modelling technique applied through discrete-event sjmulation is modular, thus increasing its adaptability to any large-scale complex network system.