DocumentCode
478072
Title
Research on Multi-echelon Supply Chain Networks Structure Optimization Based on Genetic Algorithm
Author
Qi, Dexin ; Liu, Yongxian ; Shang, Xuelai
Author_Institution
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang
Volume
1
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
650
Lastpage
654
Abstract
Genetic algorithm is the random-search one based on biology evolution mechanism, it has well robustness, flexibility and universal property. In this article, the multi-echelon supply chain networks structure model based on customers demand uncertainty is established, which contains supplier, factory, storehouse, distribution center and customer. The feasibility and validity of the model and algorithm have been validated in this article.
Keywords
genetic algorithms; search problems; supply chains; biology evolution mechanism; customer demand uncertainty; genetic algorithm; multi-echelon supply chain networks; structure optimization; Computer networks; Costs; Decision making; Evolution (biology); Genetic algorithms; Mechanical engineering; Production facilities; Raw materials; Supply chains; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.847
Filename
4666925
Link To Document