DocumentCode :
1752612
Title :
A Multi-objective Robust Operating Model for Supply Chain with Uncertain Market Supplies and Demands
Author :
Xu, Jiawang ; Huang, Xiaoyuan
Author_Institution :
Sch. of Bus. Adm., Northeastern Univ., Shenyang
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1388
Lastpage :
1392
Abstract :
A dynamic robust operating model is proposed to deal with multiple incommensurable goals for a multi-product, multi-stage supply chain with uncertain market demands and raw material supplies. The uncertainties are modeled as a number of discrete scenarios with known probabilities. The supply chain operating model is constructed as a multi-objective dynamic programming problem to satisfy several conflict objectives, such as coordination of supply chain, the maximum profit of all participants, and robustness of decision to uncertain product demands and raw material supplies. The result of a numerical example proved effectively that the inclusion of robustness measures as part of objectives can significantly reduce the variability of objective values to uncertain supplies and demands
Keywords :
dynamic programming; supply and demand; supply chain management; supply chains; dynamic robust operating model; multiobjective dynamic programming; multiobjective robust operating model; multiple incommensurable goal; multiproduct supply chain; multistage supply chain; raw material supply; supply chain operating model; uncertain market demand; uncertain market supply chain; uncertainty modeling; Aerodynamics; Aerospace engineering; Bills of materials; Dynamic programming; Engineering management; Raw materials; Robustness; Supply and demand; Supply chain management; Supply chains; Dynamic programming; Operation management; Robust optimization; Uncertain supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712575
Filename :
1712575
Link To Document :
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