• DocumentCode
    3572494
  • Title

    An Optimal Model for Container Deployment in Liner Shipping Routes Based on Equilibrium Operation

  • Author

    Chao, Chen ; Kong, Chen

  • Author_Institution
    Transp. & Manage. Coll., Dalian Maritime Univ., Dalian, China
  • Volume
    3
  • fYear
    2009
  • Firstpage
    478
  • Lastpage
    482
  • Abstract
    This paper addresses the formulation for the problem of container deployments in liner shipping routes (PCDLSR). A key and fundamental issue, which is usually regarded as a given factor by most existing studies based on such an assumption that the quantities of containers handled at each calling port are the same as ship´s capacity, is here to be treated with as an essential management problem on the shipping routes with multi-hubs in this paper. The PCDLSR is formulated as a mixed integer problem (MIP). The model for container deployment in liner shipping routes can be constructed and developed by a two-stage approach based on the route equilibrium operation. Meanwhile, a circular shipping route is given as an example to conduct numerical experiments. Results indicate that the proposed model is more effective in describing the case of assets deployed in the liner shipping route, guaranteeing the stability of its operation and reducing the total cost of its operation.
  • Keywords
    containers; integer programming; ships; transportation; calling port; container deployment management problem; container handling; liner shipping route equilibrium operation; mixed integer problem; optimal model; stability; total cost reduction; Automation; Chaos; Conference management; Containers; Costs; Educational institutions; Marine vehicles; Paper technology; Technology management; Transportation; a circular shipping voyage; container deployment; equilibrium operation; quantity handled at calling ports;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.581
  • Filename
    5288015