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|Title:||A stochastic model for risk management in global supply chain networks|
|Authors:||Goh, M. |
|Citation:||Goh, M., Lim, J.Y.S., Meng, F. (2007). A stochastic model for risk management in global supply chain networks. European Journal of Operational Research 182 (1) : 164-173. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2006.08.028|
|Abstract:||With the increasing emphasis on supply chain vulnerabilities, effective mathematical tools for analyzing and understanding appropriate supply chain risk management are now attracting much attention. This paper presents a stochastic model of the multi-stage global supply chain network problem, incorporating a set of related risks, namely, supply, demand, exchange, and disruption. We provide a new solution methodology using the Moreau-Yosida regularization, and design an algorithm for treating the multi-stage global supply chain network problem with profit maximization and risk minimization objectives. © 2006 Elsevier B.V. All rights reserved.|
|Source Title:||European Journal of Operational Research|
|Appears in Collections:||Staff Publications|
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