DocumentCode
476097
Title
Supply chain network dynamics with multi-objective decision under demand uncertainty
Author
Mai, Qiang ; An, Shi ; Wang, Jian
Author_Institution
Sch. of Sci. & Eng. on Commun., Harbin Inst. of Technol., Harbin
Volume
3
fYear
2008
fDate
12-15 July 2008
Firstpage
1710
Lastpage
1715
Abstract
The dynamics of a three tiers supply chain network in the presence of demand uncertainty is considered in this paper. The objective is assessed by taking into account not only the profit over the time horizon, but also the resulting uncovered demand satisfaction. An equilibrium variational inequality (VI) for all the nodes of the supply chain is derived. The proposed model is tested using modified Goldstein-Levitin-Polyak projection algorithm. A numerical example is provided for illustrative purpose. And the results illustrate the demand satisfaction tends to reduce the amount of product flow between node of the supply chain.
Keywords
supply chain management; variational techniques; Goldstein-Levitin-Polyak projection algorithm; demand uncertainty; equilibrium variational inequality; multiobjective decision; product flow; three tier supply chain network dynamics; uncovered demand satisfaction; Control system synthesis; Costs; Cybernetics; Electronic mail; Machine learning; Predictive models; Projection algorithms; Supply chains; Testing; Uncertainty; Supply chain; demand uncertainty; modified Goldstein-Levitin-Polyak Projection Algorithm; multi-objective decision; variational inequality;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620681
Filename
4620681
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