Due to the continuous increment in complexity of the socio-technical systems, decision makers call for new methods which are able to support timely as well as accurate decision-making related to resilience management. The current methods tend to be polarized on: efficiency-thoroughness forcing decision makers in making decisions on the base of resource availability instead of the problem to be solved. This paper presents a new fast-forward, cost-effective, and thorough enough framework to quantify resilience of a complex socio-technical system. The approach extends the functional resonance analysis method (FRAM) with a numerical method for the quantification of the analysis (Q-FRAM). In particular, it has been extended and operationalized the qualitative concepts of functional variability and dumping capacities into a method in which key performance indicators are derived from the model and aggregated into four indicators representing the FRAM resilience cornerstones (anticipate, respond, monitor, learn) through a bottom-up hierarchical approach. Finally, the four indicators are composed in a unique system resilience index that expresses the total variability present in the system at instant t. A numerical example of the use of the framework is provided together with a validation based on a comparison of the proposed approach with the current landscape. Published in: IEEE Systems Journal ( Early Access )

A Functional Resonance Analysis Method Driven Resilience Quantification for Socio-Technical Systems / Bellini, Emanuele; Coconea, Laura; Nesi, Paolo. - In: IEEE SYSTEMS JOURNAL. - ISSN 1932-8184. - STAMPA. - (2019), pp. 1-11. [10.1109/JSYST.2019.2905713]

A Functional Resonance Analysis Method Driven Resilience Quantification for Socio-Technical Systems

Bellini, Emanuele;Nesi, Paolo
2019

Abstract

Due to the continuous increment in complexity of the socio-technical systems, decision makers call for new methods which are able to support timely as well as accurate decision-making related to resilience management. The current methods tend to be polarized on: efficiency-thoroughness forcing decision makers in making decisions on the base of resource availability instead of the problem to be solved. This paper presents a new fast-forward, cost-effective, and thorough enough framework to quantify resilience of a complex socio-technical system. The approach extends the functional resonance analysis method (FRAM) with a numerical method for the quantification of the analysis (Q-FRAM). In particular, it has been extended and operationalized the qualitative concepts of functional variability and dumping capacities into a method in which key performance indicators are derived from the model and aggregated into four indicators representing the FRAM resilience cornerstones (anticipate, respond, monitor, learn) through a bottom-up hierarchical approach. Finally, the four indicators are composed in a unique system resilience index that expresses the total variability present in the system at instant t. A numerical example of the use of the framework is provided together with a validation based on a comparison of the proposed approach with the current landscape. Published in: IEEE Systems Journal ( Early Access )
2019
1
11
Bellini, Emanuele; Coconea, Laura; Nesi, Paolo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1179694
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