• DocumentCode
    537660
  • Title

    Logistic Planning and Decision under Uncertainty

  • Author

    Xiaolong, Hu

  • Author_Institution
    Inst. of Real Estate, Shanghai Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 Nov. 2010
  • Firstpage
    672
  • Lastpage
    675
  • Abstract
    The article analyzes the empty container reposition (ECR) issue with uncertain conditions which commonly encountered in realistic situation, and establishes an opportunity restriction ECR model based on the random demand of the inland reposition system. Also it discusses the resolution of the ECR model in which the objective function contains random parameters, and consequently provides two-Phase Stochastic Simulation GA to calculate the reposition model. Meanwhile with the sample analysis and comparison with ECR under a certain condition, it is proved that the model is feasible and also in accordance with realistic situation, by which a new idea is offered to investigate the topic of random inland ECR.
  • Keywords
    containers; genetic algorithms; goods distribution; logistics; planning; stochastic programming; genetic algorithm; inland empty container reposition; logistic planning; random demand; two phases-stochastic simulation; Genetic Algorithm (GA); empty container reposition (ECR); stochastic simulation; two phases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
  • Conference_Location
    Haiko
  • Print_ISBN
    978-1-4244-8683-0
  • Type

    conf

  • DOI
    10.1109/ICOIP.2010.104
  • Filename
    5662994