A Stochastic Model for Risk Management in Global Supply Chain Networks
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, incorp...
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Institutional Knowledge at Singapore Management University
2007
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| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/lkcsb_research/1886 https://doi.org/10.1016/j.ejor.2006.08.028 |
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sg-smu-ink.lkcsb_research-28852010-09-23T06:24:04Z A Stochastic Model for Risk Management in Global Supply Chain Networks Goh, Mark LIM, Young Sain, Joseph Meng, Fangwen 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. 2007-10-01T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/1886 info:doi/10.1016/j.ejor.2006.08.028 https://doi.org/10.1016/j.ejor.2006.08.028 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Supply chains Risk Management Stochastic programming Business |
| institution |
Singapore Management University |
| building |
SMU Libraries |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
SMU Libraries |
| collection |
InK@SMU |
| language |
English |
| topic |
Supply chains Risk Management Stochastic programming Business |
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Supply chains Risk Management Stochastic programming Business Goh, Mark LIM, Young Sain, Joseph Meng, Fangwen A Stochastic Model for Risk Management in Global Supply Chain Networks |
| description |
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. |
| format |
text |
| author |
Goh, Mark LIM, Young Sain, Joseph Meng, Fangwen |
| author_facet |
Goh, Mark LIM, Young Sain, Joseph Meng, Fangwen |
| author_sort |
Goh, Mark |
| title |
A Stochastic Model for Risk Management in Global Supply Chain Networks |
| title_short |
A Stochastic Model for Risk Management in Global Supply Chain Networks |
| title_full |
A Stochastic Model for Risk Management in Global Supply Chain Networks |
| title_fullStr |
A Stochastic Model for Risk Management in Global Supply Chain Networks |
| title_full_unstemmed |
A Stochastic Model for Risk Management in Global Supply Chain Networks |
| title_sort |
stochastic model for risk management in global supply chain networks |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2007 |
| url |
https://ink.library.smu.edu.sg/lkcsb_research/1886 https://doi.org/10.1016/j.ejor.2006.08.028 |
| _version_ |
1770570052966285312 |