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  • Return on investment calculator for RFID ecosystem of high tech company

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    72233_1.pdf (291.2Kb)
    Author(s)
    de Souza, Robert
    Goh, Mark
    Sundarakani, Balan
    Wai, Wong T
    Toh, Keith
    Yong, Wu
    Griffith University Author(s)
    Wu, Yong
    Year published
    2011
    Metadata
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    Abstract
    The use of RFID technology affords an opportunity for greater visibility in the supply chain and further supply chain automation, making the processes more streamlined, providing accurate and timely automatic data capture, thereby improving shipment reliability. This paper provides a case study of an RFID-enabled supply chain ecosystem focusing on a large high tech multi-national corporation based in Singapore. Specifically, the paper provides an implementation framework for the Return on Investment (ROI) calculator which trades off labor cost and productivity gains. The Supply Chain Operations Reference (SCOR) methodology ...
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    The use of RFID technology affords an opportunity for greater visibility in the supply chain and further supply chain automation, making the processes more streamlined, providing accurate and timely automatic data capture, thereby improving shipment reliability. This paper provides a case study of an RFID-enabled supply chain ecosystem focusing on a large high tech multi-national corporation based in Singapore. Specifically, the paper provides an implementation framework for the Return on Investment (ROI) calculator which trades off labor cost and productivity gains. The Supply Chain Operations Reference (SCOR) methodology is used to assess the operational level benefits of RFID implementation. We show how scalability is critical for RFID adoption.
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    Journal Title
    Computers in Industry
    Volume
    62
    Issue
    8-9
    DOI
    https://doi.org/10.1016/j.compind.2011.08.002
    Copyright Statement
    © 2011 Elsevier. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Distributed computing and systems software
    Manufacturing engineering
    Publication URI
    http://hdl.handle.net/10072/41608
    Collection
    • Journal articles

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