An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work...

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Bibliographic Details
Published in:Journal of risk research 2012-08, Vol.15 (7), p.817-840
Main Authors: Cagliano, Anna Corinna, De Marco, Alberto, Grimaldi, Sabrina, Rafele, Carlo
Format: Article
Language:English
Subjects:
Benefits
Communication
Culture
Economic performance
Manufacturing
Measurement
performance measurement
Risk
Risk management
Risk theory
supply chain
Supply chain management
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Summary:Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies' awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processes.
ISSN:1366-9877
1466-4461
DOI:10.1080/13669877.2012.666757