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Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles Cover

Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles

Open Access
|Sep 2020

Abstract

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.

DOI: https://doi.org/10.34768/amcs-2020-0044 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 597 - 609
Submitted on: Dec 27, 2019
Accepted on: Jun 5, 2020
Published on: Sep 29, 2020
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Krzysztof Malinowski, Andrzej Karbowski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.