Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
479078 | European Journal of Operational Research | 2007 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Mark Goh, Joseph Y.S. Lim, Fanwen Meng,