| Title | Identification and Assessment of Risks Affecting Sociotechnical Systems Resilience |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Said, S., Bouloiz, H., Gallab, M. |
| Conference Name | 2020 IEEE 6th International Conference on Optimization and Applications (ICOA) |
| Date Published | apr |
| Keywords | 5×5 matrix, Capacity planning, decision making, Economics, identifying assessing risk factors, Measurement, Planning, pubcrawl, resilience, resilience engineering, Resilience Metrics, resilience planning, Resiliencebased risk matrix, Resiliency, risk assessment, risk Identification, risk management, Robustness, Scalability, sociotechnical systems resilience, work factor metrics |
| Abstract | Resilience is regarded nowadays as the ideal solution that can be envisaged by sociotechnical systems for coping with potential threats and crises. This being said, gaining and maintaining this ability is not always easy, given the multitude of risks driving the adverse and challenging events. This paper aims to propose a method consecrated to the assessment of risks directly affecting resilience. This work is conducted within the framework of risk assessment and resilience engineering approaches. A 5x5 matrix, dedicated to the identification and assessment of risk factors that constitute threats to the system resilience, has been elaborated. This matrix consists of two axes, namely, the impact on resilience metrics and the availability and effectiveness of resilience planning. Checklists serving to collect information about these two attributes are established and a case study is undertaken. In this paper, a new method for identifying and assessing risk factors menacing directly the resilience of a given system is presented. The analysis of these risks must be given priority to make the system more resilient to shocks. |
| DOI | 10.1109/ICOA49421.2020.9094471 |
| Citation Key | said_identification_2020 |
Identification and Assessment of Risks Affecting Sociotechnical Systems Resilience