A Stochastic Model for Risk Management in Global Supply Chain Networks

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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Main Authors: Goh, Mark, LIM, Young Sain, Joseph, Meng, Fangwen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
Supply chains
Risk Management
Stochastic programming
Business
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/1886
https://doi.org/10.1016/j.ejor.2006.08.028
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Institution: Singapore Management University
Language: English
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spelling 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
spellingShingle 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

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