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