• 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