• DocumentCode
    3453061
  • Title

    Automatic Identification-Enabled Traceability in Supply Chain Management

  • Author

    Zhang, Jianfu ; Feng, Pingfa ; Wu, Zhijun ; Yu, Dingwen

  • Author_Institution
    Dept. of Precision Instrum. & Mechanology, Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Traceability defined as the ability to trace dependent items within a model and access the identity and attribute of the physical supply chain´s objects plays a vital role in the supply chain management (SCM). However, achieving end-to-end traceability across the supply chain is currently quite a challenge from a technical, a co-ordination and a cost perspective. To identify suitable traceability methods, possible automatic identification technology (Auto-ID) is clarified by analyzing alphanumerical codes, bar codes, and the radio frequency identification (RFID). Its purpose is to study the different requirements of traceability in the SCM, and to provide a general framework for the identification of the product whole lifecycle information. Furthermore, the architecture and information models of the traceability system, the relationship of the presented Auto-ID technologies and how the methods work are presented to address the different stages´ requirements together with their advantages.
  • Keywords
    bar codes; radiofrequency identification; supply chain management; alphanumerical codes; automatic identification-enabled traceability; bar codes; radio frequency identification; supply chain management; Costs; Customer satisfaction; Environmental economics; History; Instruments; Material properties; Production systems; Radiofrequency identification; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1530
  • Filename
    4679438