DocumentCode :
2763256
Title :
Algorithm of Optimization for Global Supply Chain Layout under Random Conditions
Author :
Feng, He Jun ; Wei, Xiao
Author_Institution :
Depts. of Trade & Economic, Hunan Univ., Changsha, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
250
Lastpage :
253
Abstract :
This paper discusses the global supply chain, especially about the prioritization scheme of layout for the maximization of investorspsila income. Different from the past studies which used certainty planning model, we introduce the Monte Carlo method with thinking the chance fluctuation of exchange rate. And we convert the mixed random planning model to the matrix of certainty planning model. By using genetic algorithm, Bernoulli theorem and Floyd algorithm, we get the satisfactory solution for the layout of global supply chain.
Keywords :
Monte Carlo methods; exchange rates; genetic algorithms; profitability; supply chains; Bernoulli theorem; Floyd algorithm; Monte Carlo method; exchange rate fluctuation; genetic algorithm; global supply chain layout; income maximization; mixed random planning model; optimization; Electronic commerce; Exchange rates; Fluctuations; Government; Helium; Partial response channels; Production; Raw materials; Stability; Supply chains; Global Supply chain; algorithmic; layout;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3661-3
Type :
conf
DOI :
10.1109/ECBI.2009.132
Filename :
5190450
Link To Document :
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