The resilience of complex systems such as gas turbines, industrial plants, or critical infrastructure networks is of increasingly higher interest to engineers. Instead of solely concentrating on the robustness of systems and their ability to withstand certain threats, research is more and more focused on their ability to recover from these events as well. Appropriate quantitative measures of resilience can support decision-makers seeking to improve or to design complex systems. In this paper, a previously developed comprehensive and adaptable resilience-based decisionmaking method is extended to handle higher-dimensional problems subject to monetary constraints. The technique applies a grid search algorithm for systemic risk measures to significantly reduce the computational effort. In order to demonstrate its usefulness, the extended decision-making procedure is applied to a functional model of a multistage high-speed axial compressor.