Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles
oraz
29 wrz 2020
O artykule
Data publikacji: 29 wrz 2020
Zakres stron: 597 - 609
Otrzymano: 27 gru 2019
Przyjęty: 05 cze 2020
DOI: https://doi.org/10.34768/amcs-2020-0044
Słowa kluczowe
© 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.