Ghadge, Abhijeet, Dani, Samir and Kalawsky, Roy (2011) Systems thinking for modeling risk propagation in supply networks. In: 2011 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, pp. 1685-1689. ISBN 978-1-4577-0739-1Metadata only available from this repository.
Large scale systems like supply chains are growing more global and complex. Quantifying supply chain risks is challenging due to their uncertain nature. Understanding of the risk propagation is expected to provide new directions for effective supply chain risk management. Using systems thinking approach for modeling risk propagation in supply chain, we have developed a conceptual understanding of risk propagation levels and dimensions. A case study of the Japanese tsunami (2011) has been analyzed and presented in a multi-dimensional perspective to validate the conceptual development of risk propagation. Key supply chain risks and their approximate risk propagation durations are identified for a typical natural disaster disrupting global supply chain network. Case study has validated the classification of risks based on their propagation zones in supply network.
|Item Type:||Book Chapter|
|Subjects:||H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
H Social Sciences > HE Transportation and Communications
|Schools:||The Business School|
|Depositing User:||Cherry Edmunds|
|Date Deposited:||17 Mar 2014 14:28|
|Last Modified:||17 Mar 2014 14:28|
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