Abstract
Network reliability is one of the most useful decision support information in management science. At the beginning of system design and analysis process, component redundant and reliability allocation problems affect the system performance related to availability and expect life. Searching for the optimal system configuration should consider the tradeoff between system performance and restricted resources. This thesis proposes the Squeeze Response Surface Methodology that integrate CA based MCS and RSM approach. Due to separate the simulation response into analytical and stochastic part, the range of error is squeezed. It can efficiently fit versatile models formulation that concerns to reliability optimization. From the comparison of the benchmark example, it shows that the percentage error of the purposed estimate and the exact reliability is under 0.2%. The purposed approach has the advantage of saving time, economical computation, and accurate prediction.