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
         
        
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICMLC.2008.4620681