• DocumentCode
    492210
  • Title

    Decision Making Before the Location Model of Distribution Center

  • Author

    Ding, Lianhong ; Shi, Peng ; Liu, Bingwu

  • Author_Institution
    Sch. of Inf., Beijing Wuzi Univ., Beijing
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    833
  • Lastpage
    836
  • Abstract
    Appropriate locations for distribution centers benefit both distribution centers and their clients. Many location models of distribution centers base on the assumption that the companies that the distribution center serves are known. Few literatures touch on the issue that if the right companies have been found as the service objects for the distribution center. This paper believes the better way is to find the right service clients first, and then, build location model based on it. And this paper focuses on the identification of the service clients and other decisions can be made based on the identification result. In order to find the right clients for distribution centers a network which can reflects the transport relationships among companies is created first. Then the companies that should share logistics service are identified through community detection method. The companies belonging to a same community of the network may become the right service clients for a distribution center.
  • Keywords
    client-server systems; decision making; logistics data processing; decision making; distribution center; location model; logistics service; service clients; Companies; Decision making; Educational programs; Logistics; Materials science and technology; Programming profession; Safety; Social network services; Supply and demand; Supply chains; community; distribution center; link analysis; network; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810620
  • Filename
    4810620