• DocumentCode
    3177470
  • Title

    Study on Location-Selection of Logistics Distribution Center Based on GIS and Weighted Steiner Tree

  • Author

    Jun, Ma ; Zhanjiang, Shi ; Chunli, Wei ; Lingyun, Yang ; Yake, Wang

  • Volume
    3
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    Choosing a location in a scientific and effective way is a precondition for development of E-commerce´s distribution center. With the development of computer science and information science, Geographic Information System (GIS), relying on its versatile tools in spatial analysis and visualization, makes Location-selection of distribution center more precise and more perceptible. In allusion to the traditional location model based on the algorithm encapsuled by GIS software and Steiner tree problem, this paper proposed a location model of Weighted Steiner tree problem and gave its improved algorithm based on Multi-Agent System. Then the combination of programming tools and GIS software has analyzed and carried out location problem for distribution center in E-commerce environment based on this model, and some tests have been made to prove the feasibility of this model.
  • Keywords
    electronic commerce; facility location; geographic information systems; goods distribution; logistics; multi-agent systems; GIS software; computer science; e-commerce distribution center; geographic information system; information science; location selection; logistics distribution center; multi agent system; spatial analysis; weighted Steiner tree; Computer science; Geographic Information Systems; Information analysis; Information science; Logistics; Multiagent systems; Software algorithms; Software testing; Software tools; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.320
  • Filename
    5384863