• DocumentCode
    1929311
  • Title

    EPCIS-Based Supply Chain Event Management – A Quantitative Comparison of Candidate System Architectures

  • Author

    Tribowski, Christoph ; Goebel, Christoph ; Gunther, O.

  • Author_Institution
    Inst. fur Wirtschaftsinformatik, Humboldt-Univ. zu Berlin, Berlin
  • fYear
    2009
  • fDate
    16-19 March 2009
  • Firstpage
    494
  • Lastpage
    499
  • Abstract
    Supply chain event management (SCEM) systems are decision support systems that allow for monitoring, prioritizing and reacting to events pertaining to the flow of goods in a supply chain. A major current trend in logistics concerns the tracking of materials by using the radio frequency identification (RFID) technology. RFID reader data can be contextualized in the form of standardized supply chain events and exchanged along the supply chain in order to provide the informational basis of SCEM. Using analytical methods, we evaluate two candidate system architectures that enable the cross-company exchange of supply chain events with respect to efficiency and reliability: Event Pull proposed by the industry consortium EPCglobal and Event Push. Event Push is shown to be particularly suitable for the realization of SCEM applications.
  • Keywords
    decision support systems; logistics; radiofrequency identification; supply chain management; EPCIS-based supply chain event management; EPCglobal; Event Pull; Event Push; RFID technology; candidate system architectures; decision support systems; logistics; radio frequency identification; Collaboration; Competitive intelligence; Computer architecture; Conference management; Information retrieval; Internet; Radiofrequency identification; Scheduling; Supply chain management; Supply chains; Architecture; Internet of Things; RFID; Supply Chain Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4244-3569-2
  • Electronic_ISBN
    978-0-7695-3575-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2009.47
  • Filename
    5066830