Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 |
| Herausgeber/-innen | Michael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub |
| Seiten | 530-537 |
| Seitenumfang | 8 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Deutschland Dauer: 4 Sept. 2022 → 7 Sept. 2022 |
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.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Managementlehre und Operations Resarch
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
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- BibTex
- RIS
Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. Hrsg. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. 2022. S. 530-537.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Resilience Decision-Making for Complex and Substructured Systems
AU - Salomon, J.
AU - Behrensdorf, J.
AU - Winnewisser, N.
AU - Broggi, M.
AU - Beer, M.
N1 - Publisher Copyright: © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Complex Systems
KW - Decision-Making
KW - Reliability
KW - Resilience
KW - Survival Signature
UR - http://www.scopus.com/inward/record.url?scp=85202034199&partnerID=8YFLogxK
U2 - 10.3850/978-981-18-5184-1_MS-16-191-cd
DO - 10.3850/978-981-18-5184-1_MS-16-191-cd
M3 - Conference contribution
AN - SCOPUS:85202034199
SN - 9789811851841
SP - 530
EP - 537
BT - Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
A2 - Beer, Michael
A2 - Zio, Enrico
A2 - Phoon, Kok-Kwang
A2 - Ayyub, Bilal M.
T2 - 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Y2 - 4 September 2022 through 7 September 2022
ER -