IDEAS home Printed from https://ideas.repec.org/a/ids/ijitma/v15y2016i4p387-400.html
   My bibliography  Save this article

A RFID-based similarity cluster approach for detecting abnormal logistics paths and its performance evaluation

Author

Listed:
  • Xiaohua Cao
  • Qingxia Li

Abstract

Abnormal transportation path can cause the sharp increase of the cost of logistics operation. So it becomes crucial to detect and handle abnormal logistics paths timely in the process of transportation logistics. Based on RFID information acquisition technology, this paper proposes a novel cluster approach to detect abnormal logistics paths. Firstly, it adopts RFID data to describe logistics paths and presents a similarity model of RFID paths according to the sequence feature of RFID nodes in logistics paths. Based on path similarity model, a cluster approach of RFID paths is suggested for detecting abnormal logistics paths. Finally, the performance of the proposed similarity cluster approach is evaluated from the various points of view. The results show that the proposed RFID-based similarity cluster approach can well build high-similarity group of paths and easily find the outliers of clusters. It is well suited to detect abnormal paths in an actual transportation logistics.

Suggested Citation

  • Xiaohua Cao & Qingxia Li, 2016. "A RFID-based similarity cluster approach for detecting abnormal logistics paths and its performance evaluation," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 15(4), pages 387-400.
    • Handle: RePEc:ids:ijitma:v:15:y:2016:i:4:p:387-400
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=79601
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijitma:v:15:y:2016:i:4:p:387-400. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=18 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.