Towards Resilience as a Tradable Parameter During Conceptual Trade Studies Open Access
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New methodologies to model, evaluate, and analyze the resilience of system architectures at the conceptual design level may support needs evaluations, policy development, and the study of social decisions. The primary objective of this research was to develop a generalized resilience analysis model for the characterization of multi-state engineered systems subject to disruptions to support system design selection during trade studies. The model of each design variant within the trade space uses continuous time Markov chains that model the transient response of each design variant subject to a user-defined disruption. The characteristic of the operating condition of the multi-state system rely on a finite number of machine states. Each design variant’s utility response is a function of the system’s machine state response to the disruption. Resilience capabilities populate trade studies. Case studies consisting of unmanned surface vessels and bistatic radar systems provide a theoretic method to illustrate the concepts presented within this paper and demonstrate the ability of the methodology to aid decision makers’ selection of resilient system architectures. Use of an analytical framework serves as a unifying foundation for incorporating resilience behaviors of multi-state engineered systems into early stage design considerations.