Resilience Decision-Making for Complex and Substructured Systems

authored by: J. Salomon, J. Behrensdorf, N. Winnewisser, M. Broggi, M. Beer
Abstract: Complex systems - such as gas turbines, industrial plants, ana infrastructure networks - are of paramount importance to modern societies. However, these systems are suoject to various threats. Novel research does not only focus on monitoring ana improving the robustness and reliability of systems but also focus on their recovery from adverse events. The concept of resilience encompasses these developments. However, efficient resilience analysis is becoming increasingly difficult for modern systems in our society due to increasing complexity - system components frequently have significant complexity of their own, requiring them to be modeled as systems, i.e. subsystems. Therefore, efficient resilience analysis approaches are needed to address this emerging challenge. In this work, an efficient resilience decision-making procedure is developed by bringing together two methods from the fields of reliability analysis and modern resilience assessment. A resilience decision-making framework and the concept of survival signature are adapted and unified, resulting in an efficient approach to quantify the resilience of complex, large, and substructural systems, taking into account monetary constraints. The new approach combines both of the advantageous characteristics of its two original components: 1. a direct comparison between different resilience enhancing options, leading to an optimal trade-off with respect to the resilience of a system and 2. a significant reduction of the computational effort due to the separation property of the survival signature, i.e., once a subsystem structure has been computed, any possible characterization of the probabilistic part can be validated with no need to recompute the structure. Beyond the merging of the theoretical aspects, the approach is employed on an arbitrary complex system, providing accurate results and demonstrating effciency and general applicability.
Organisation(s): Institute for Risk and Reliability
External Organisation(s): University of Liverpool
Tongji University
Type: Conference contribution
Pages: 530-537
No. of pages: 8
Publication date: 2022
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Management Science and Operations Research, Safety, Risk, Reliability and Quality
Electronic version(s): https://doi.org/10.3850/978-981-18-5184-1_MS-16-191-cd (Access: Closed)