Assessing supply chain dependency on critical infrastructures using fuzzy cognitive maps

Ferrari, Marco; Schupp, Bastiaan A.; Trucco, Paolo; Ward, David; Nordvik, Jean Pierre

doi:10.1504/ijram.2011.042114

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Globalisation of supply chains and their increasing interconnectedness due to global and highly differentiated companies is an issue of increasing relevance that can be properly tackled only through more complex risk modelling approaches (Mittnik, S. & Starobinskaya, 2010). Similar requirements are needed when the relationships between global supply networks and critical infrastructures (electricity, gas, transportation, telecommunication, ...) are taken into consideration (Ferrari et al 2011). …”

Section: Classification Of Operational Risksmentioning

confidence: 99%

BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements

Trucco¹,

Leva²

2012

Bayesian Networks

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Section: Classification Of Operational Risksmentioning

confidence: 99%

BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements

Trucco¹,

Leva²

2012

Bayesian Networks

Self Cite

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Analysis of Critical Infrastructure Network Failure in the European Union: A Combined Systems Engineering and Economic Model

Jonkeren

Azzini²,

Galbusera³

et al. 2014

Netw Spat Econ

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Over the past few years, the European Commission has placed Critical Infrastructure Protection under the spotlight. Therefore, the Joint Research Centre is developing a tool to estimate the economic impact of Critical Infrastructure (CI) network failure, resulting from a hazard, on the regional or national level. This tool, which is presented in this study, is a combined Systems Engineering and Dynamic Inoperability Input–output model (SE-DIIM). The resilience of infrastructures and economic sectors, in terms of their ability to withstand and recover from disruptions, is included in the model. We discuss the model by analyzing the economic losses incurred in the 2003 Italian electricity network outage. The losses are estimated at both national and regional levels i.e. northern, central and southern parts of Italy and Sicily with a focus on 9 CI’s. We estimate that the economic loss for the case study under consideration is between €46 million and €173 million. We conclude that the combination of the SE and the DIIM components provides a complete framework for assessing the economic impact of critical infrastructure network failure on the national or regional level taking account of resilience

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Modelling Economic Consequences of ICT Infrastructure Failure in Support of Critical Infrastructure Protection Policies

Jonkeren¹,

Ward²

2013

Critical Information Infrastructure Protection and Resilience in the ICT Sector

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There is a large body of work and effort been made in the modelling of critical infrastructures (CI's) by academia, enterprises, stakeholders, operators, etc.; however, their endeavours have received mixed success so far. This can be traced back to several difficult and historical hurdles in CI modeling such as the chronic unavailability of reliable and recognised data, the specificity of the resulting model, and therefore, its application, the underlying mathematics, narrow-mindedness and lack of awareness of the consequences of infrastructure failure, the recognition and dissemination of the modelling methodologyknowledge, etc. Consequently, bridging theory and application and providing tools for analysing CI's is key to ensuring that such modelling delivers the benefits voiced and satisfies the needs raised. This chapter sets out to tackle several of these issues.

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Assessing supply chain dependency on critical infrastructures using fuzzy cognitive maps

Cited by 3 publications

References 17 publications

BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements

BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements

Analysis of Critical Infrastructure Network Failure in the European Union: A Combined Systems Engineering and Economic Model

Modelling Economic Consequences of ICT Infrastructure Failure in Support of Critical Infrastructure Protection Policies

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