• DocumentCode
    2766152
  • Title

    Research on component design method of inventory management based on business model and cluster algorithm

  • Author

    Liu, Siqi ; Liu, Shifeng ; Luo, Linna

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiao tong Univ., Beijing, China
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    123
  • Lastpage
    128
  • Abstract
    Business modeling and Business components designing have lots of construction methods which have been proved insufficient in lots of cases. According to this problem, this paper presents a business model description method which is descripted by UML and consists of a business entity view and a business control view. Besides, it offers a transformation mechanism from UML model to Petri. At the same time, on the basis of semantic analysis of business model, the clustering algorithm formula which is introduced to divide the process of business component more effectively between classes is given. Then this paper builds up an Inventory Management business model of an enterprise for discussing business component identification, analysis and designing in practical using.
  • Keywords
    Petri nets; Unified Modeling Language; business data processing; inventory management; object-oriented methods; pattern clustering; Petri; UML model; business component identification; business control view; business entity view; business model description method; clustering algorithm; component design method; construction method; enterprise; inventory management business model; semantic analysis; transformation mechanism; Clustering algorithms; Correlation; Educational institutions; Inventory management; Semantics; Unified modeling language; Inventory Management; Petri; business model; cluster algorithm; component design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-2024-6
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2012.6252205
  • Filename
    6252205