• DocumentCode
    3783008
  • Title

    Discovery of sequential patterns from large database in supply chain

  • Author

    Chen An; Liu Lu; Chen Ning; Xia Guoping

  • Author_Institution
    Manage. Sch., Beijing Univ. of Aeronaut. & Astronaut., China
  • Volume
    3
  • fYear
    2000
  • Firstpage
    1966
  • Abstract
    There exist some kinds of sequential patterns in several supply chain echelons, such as production, distribution, etc. The Bill of materials is a simple static example of such cases, which has multiple levels but is dependent on the time in the production stage. Sequential patterns mining from large business database is a hot topic in database system and modern business management. Previous work was focused on searching efficient algorithms of mining sequential patterns. Since most of the algorithms need to scan the database for many times, this cannot be resisted because the size of the database is often very large. In the paper, we first give the modeling description of the distribution stage in supply chain, and then discuss the necessary of the sequential pattern mining. Finally, an effective algorithm in the solution of mining sequential patterns is introduced.
  • Keywords
    "Databases","Supply chains","Production","Bills of materials","Raw materials","Uncertainty","Supply chain management","Total quality management","Flexible manufacturing systems","Costs"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.862877
  • Filename
    862877