• DocumentCode
    2957832
  • Title

    A Grammar-Based Supply Chain Process Modeling Method

  • Author

    Qin, Fan ; Ke, Yongzhen ; Xiao, Jianhua

  • Author_Institution
    Logistics Manage. Dept., Nankai Univ., Tianjin, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a modeling method of supply chain process (SCP) based on SCP grammar definition and analyst is proposed. In this method, a SCP is taken as a whole sentence. On basis of this idea, the syntactic structure of supply chain process is defined and analyzed by considering the characteristics of SCP and using mainly two natural language processing method -- phrase structure grammar (PSG) and augmented transition network (ATN). This SCP modeling method can be used on establishing SCP parser for SCP design, analyst and redesign.
  • Keywords
    grammars; natural language processing; supply chain management; ATN; PSG; SCP grammar definition; SCP parser; augmented transition network; grammar-based supply chain process modeling; natural language processing; phrase structure grammar; syntactic structure; Grammar; Natural language processing; Organizations; Presses; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997871
  • Filename
    5997871