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Systems thinking for modeling risk propagation in supply networks

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 978-1-4577-0739-1

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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: Huddersfield Business School
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Depositing User: Cherry Edmunds
Date Deposited: 17 Mar 2014 14:28
Last Modified: 28 Aug 2021 11:36


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