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Robust design has been gaining wide attention, and its applications have been extended to making reliable decisions when designing complex engineering systems in a multidisciplinary design environment. Though the usefulness of robust design is widely acknowledged for multidisciplinary design systems, its implementation is rare. One of the reasons is the complexity and computational burden associated with the evaluation of performance variations caused by the randomness (uncertainty) of a system. A multidisciplinary robust design procedure that utilizes ef cient methods for uncertainty analysis is developed here. Different from the existing uncertainty analysis techniques, our proposed techniques bring the features of a multidisciplinary design optimization (MDO) framework into consideration. The system uncertainty analysis method and the concurrent subsystem uncertainty analysis method are developed …