Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles
e
29 set 2020
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 29 set 2020
Pagine: 597 - 609
Ricevuto: 27 dic 2019
Accettato: 05 giu 2020
DOI: https://doi.org/10.34768/amcs-2020-0044
Parole chiave
© 2020 Krzysztof Malinowski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
We present a real-time hierarchical approach to an on-line risk assessment at the national level taking into account both local risk analyses performed by key service operators and relevant interdependencies between those services. For this purpose we define mutually agreed predicted service disruption profiles and then propose a coordination mechanism to align those profiles. A simple, four-entity example is provided to illustrate the coordination.