Quantitative representation of the functional resonance analysis method for risk assessment

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 108
  • Download : 0
Resilience engineering understands that risks are emergent from the complexity of socio-technical systems. In this perspective, the risk assessment needs to analyze possibilities of potential risks emerging from system variabilities and interactions under hypothetical scenarios. While the Functional Resonance Analysis Method (FRAM) is a well-established method for analyzing system behavior in terms of variability, assessing relative risk levels requires more specific representation and handling of the quantitative aspects of variabilities to allow for comparative analysis and decision-making. This study proposed and examined a quantitative scheme to use FRAM for risk assessment by defining rules for variability propagation and aggregation. The proposed method represents the system more realistically with quantitative values, taking into account interactions and the adaptive operation of functions. The approach was tested via a walk-through application to an emergency response system for infectious disease. Three progressive scenarios are used in relation to managing crisis response for the 2019 coronavirus pandemic (COVID-19), and the results demonstrate the usefulness of the proposed method for assessing the relative importance of potential risks and critical conditions. Although the test example focused on a disease containment case, the proposed method can generally support strategic decision making during the governance of large-scale crisis response.
Publisher
ELSEVIER SCI LTD
Issue Date
2021-10
Language
English
Article Type
Article
Citation

RELIABILITY ENGINEERING & SYSTEM SAFETY, v.214

ISSN
0951-8320
DOI
10.1016/j.ress.2021.107745
URI
http://hdl.handle.net/10203/286731
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0