Scipediacontent: Scipediacontent moved page Draft Content 732937131 to Coconea et al 2019a

2021-02-16T08:53:21Z

Scipediacontent moved page Draft Content 732937131 to Coconea et al 2019a

Scipediacontent: Created page with " == 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..."

2021-02-16T08:53:18Z

Created page with " == 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..."

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== 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.

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/11591/418271 http://hdl.handle.net/11591/418271]

* [https://ieeexplore.ieee.org/ielx7/4267003/9020228/08686178.pdf https://ieeexplore.ieee.org/ielx7/4267003/9020228/08686178.pdf]

* [http://xplorestaging.ieee.org/ielx7/4267003/9020228/08686178.pdf?arnumber=8686178 http://xplorestaging.ieee.org/ielx7/4267003/9020228/08686178.pdf?arnumber=8686178],
: [http://dx.doi.org/10.1109/jsyst.2019.2905713 http://dx.doi.org/10.1109/jsyst.2019.2905713]

* [https://dblp.uni-trier.de/db/journals/sj/sj14.html#BelliniCN20 https://dblp.uni-trier.de/db/journals/sj/sj14.html#BelliniCN20],
: [https://ieeexplore.ieee.org/document/8686178 https://ieeexplore.ieee.org/document/8686178],
: [https://flore.unifi.it/handle/2158/1179694 https://flore.unifi.it/handle/2158/1179694],
: [https://academic.microsoft.com/#/detail/2943244548 https://academic.microsoft.com/#/detail/2943244548]

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Coconea et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 732937131 to Coconea et al 2019a

Scipediacontent: Created page with " == 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..."