The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Operational resilience: concepts, design and analysis
Open accessAbstract
Building resilience into today’s complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics and cyber-threats. This study proposes quantitative measures that capture and implement the definition of engineering resilience advanced by the National Academy of Sciences. The approach is applicable across physical, information and social domains. It evaluates the critical functionality, defined as a performance function of time set by the stakeholders. Critical functionality is a source of valuable information, such as the integrated system resilience over a time interval and its robustness. The paper demonstrates the formulation on two classes of models: 1) multi-level directed acyclic graphs and 2) interdependent coupled networks. For both models synthetic case studies are used to explore trends. For the first class, the approach is also applied to the Linux operating system. Results indicate that desired resilience and robustness levels are achievable by trading off different design parameters, such as redundancy, node recovery time and backup supply available. The nonlinear relationship between network parameters and resilience levels confirms the utility of the proposed approach, which is of benefit to analysts and designers of complex systems and networks.
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Cites
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The structure and dynamics of multilayer networks
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The structure and dynamics of multilayer networksPreprint
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Social-Ecological Resilience to Coastal Disasters
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Bouncing forward: a resilience approach to dealing with COVID-19 and future systemic shocks
Hynes, W., Trump, B., Love, P., & Linkov, I. (2020) · Environment Systems and Decisions · doi:10.1007/s10669-020-09776-x · Cited by 626
Self-citationDigital technologies can enhance climate resilience of critical infrastructure
Argyroudis, S. A., Mitoulis, S. A., Chatzi, E., Baker, J. W., Brilakis, I., Gkoumas, K., Vousdoukas, M., Hynes, W., Carluccio, S., Keou, O., et al. (2022) · Climate Risk Management · doi:10.1016/j.crm.2021.100387 · Cited by 361
Self-citationFanzo, J., Haddad, L., Schneider, K. R., Béné, C., Covic, N. M., Guarin, A., Herforth, A. W., Herrero, M., Sumaila, U. R., Aburto, N. J., et al. (2021) · Food Policy · doi:10.1016/j.foodpol.2021.102163 · Cited by 341
Metadata
- Authors
- Ganin, A. A., Massaro, E., Gutfraind, A., Steen, N., Keisler, J. M., Kott, A., Mangoubi, R., & Linkov, I.
- Venue
- Scientific Reports
- Published
- 2016-01-19
- Volume
- 6
- Issue
- 1
- Pages
- 19540-19540
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2254046393
- Cited by
- 287
- References
- 42
- FWCI
- 44.85
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ganin, A. A., Massaro, E., Gutfraind, A., Steen, N., Keisler, J. M., Kott, A., Mangoubi, R., & Linkov, I. (2016). Operational resilience: concepts, design and analysis. Scientific Reports. https://doi.org/10.1038/srep19540
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
