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Technological networks robustness and resilience assessment

Kamissoko, Daouda and Pérès, François and Zaraté, Pascale Technological networks robustness and resilience assessment. (2013) In: 5th International Conference on Industrial Engineering and Systems Management (IESM 2013), 28 October 2013 - 30 October 2013 (Rabat, Morocco).

(Document in English)

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Official URL: https://ieeexplore.ieee.org/document/6761442


Infrastructure network failure such as power grid, gas and telecommunication systems might perturb societies well functioning. A failure in the natural disaster context could lead to a crisis situation. This paper deals with robustness and resilience assessment of such systems under natural disaster. Through a case study, a methodology is presented. The way of including environmental relevant parameters is presented. Our method includes territory specifics, flow circulation, influence of mitigation and aggravation factors, feared event evaluation. We provide a vulnerability assessment methodology and formula. The approach is based on views from infrastructure initial and final states. Inherent vulnerability assessment constraints are also presented. We found that vulnerability is multi-views. It depends on the system robustness and resilience. Hence any analysis might begin by parameters identification. Parameters static and dynamic attributes are identified. Vulnerability analysis is not the end in itself. The analysis might lead to decisions to enhance weak points. This paper provides the foundation to go towards a decision aiding process.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-04003345
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Laboratory name:
Deposited On:16 Sep 2013 13:06

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