A multi-attribute Systemic Risk Index for comparing and prioritizing chemical industrial areas

G.L.L. Reniers, Sörensen, K. and W. Dullaert

Reliability Engineering and System Safety, 2012, vol. 98, issue 1, 35-42

Abstract: Measures taken to decrease interdependent risks within chemical industrial areas should be based on quantitative data from a holistic (cluster-based) point of view. Therefore, this paper examines the typology of networks representing industrial areas to formulate recommendations to more effectively protect a chemical cluster against existing systemic risks. Chemical industrial areas are modeled as two distinct complex networks and are prioritized by computing two sub-indices with respect to existing systemic safety and security risks (using Domino Danger Units) and supply chain risks (using units from an ordinal expert scale). Subsequently, a Systemic Risk Index for the industrial area is determined employing the Borda algorithm, whereby the systemic risk index considers both a safety and security network risk index and a supply chain network risk index. The developed method allows decreasing systemic risks within chemical industrial areas from a holistic (inter-organizational and/or inter-cluster) perspective. An illustrative example is given.

Keywords: Systemic risks; Network analysis; Prevention management; Chemical cluster; Safety and security risk index; Supply chain risk index; Risk index; Borda rule (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:98:y:2012:i:1:p:35-42

DOI: 10.1016/j.ress.2011.10.002

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