• DocumentCode
    1063847
  • Title

    Increasing Supply-Chain Visibility with Rule-Based RFID Data Analysis

  • Author

    Ilic, Alexander ; Andersen, Thomas ; Michahelles, Florian

  • Author_Institution
    ETH Zurich, Zurich
  • Volume
    13
  • Issue
    1
  • fYear
    2009
  • Firstpage
    31
  • Lastpage
    38
  • Abstract
    RFID technology tracks the flow of physical items and goods in supply chains to help users detect inefficiencies, such as shipment delays, theft, or inventory problems. An inevitable consequence, however, is that it generates huge numbers of events. To exploit these large amounts of data, the supply chain visualizer increases supply-chain visibility by analyzing RFID data, using a mix of automated analysis techniques and human effort. The tool´s core concepts include rule-based analysis techniques and a map-based representation interface. With these features, it lets users visualize the supply-chain structure, together with performance metrics, and detect problematic hot spots.
  • Keywords
    knowledge based systems; radiofrequency identification; supply chains; telecommunication computing; user interfaces; automated analysis techniques; inventory problems; map-based representation interface; performance metrics; rule-based RFID data analysis; shipment delays; supply-chain visibility; Data analysis; Data mining; Data visualization; Delay; Humans; Internet; Measurement; Pervasive computing; Radiofrequency identification; Supply chains; RFID Meets the Internet; RFID data; radio frequency identification; rule-based analysis; supply chain; visualization;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2009.10
  • Filename
    4747625