• DocumentCode
    1895361
  • Title

    Design of Asset Supply Chain Management System Based on Internet of Things for Chinese Universities

  • Author

    Li, Zisheng ; Xiao, Xiaoping

  • Author_Institution
    Key Lab. of Testing Technol. for Manuf. Process, Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    1
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    The existing problems of ASCMS (Asset Supply Chain Management System of Chinese Universities) are analyzed. The feasibility of applying the technologies of IOT (Internet of Things) to ASCMS is discussed. The system target is described. And use case diagrams of administrator, user and supplier are used to system requirement analysis by using UML (Unified Modeling Language). And then the workflow charts of user and administrator are given to interpret the functional procedures. Moreover the state of asset is defined and illustrated by state diagram to describe the state transition of asset in its lifecycle. Finally the system architecture, system workflow and system module are studied. Analysis and study of ASCMS shows that applying the technologies of IOT to asset management system is feasible from both views of management rules and technology.
  • Keywords
    Internet; Unified Modeling Language; supply chain management; ASCMS; Internet of Things; UML; administrator case diagrams; asset supply chain management system of Chinese universities; functional procedures; unified modeling language; workflow charts; Asset management; Educational institutions; Internet; Logistics; Maintenance engineering; Radiofrequency identification; Supply chain management; asset management system; internet of things; radio frequency identification; supply chain management; system design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.206
  • Filename
    6187871