Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 182, Issue 1, Pages 164-173Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2006.08.028
Keywords
supply chains; risk management; stochastic programming; Moreau-Yosida regularization
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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. (c) 2006 Elsevier B.V. All rights reserved.
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