Research on Supply Chain Abnormal Event Detection Based on the RFID Technology

Abstract:

In a complex supply network composed of suppliers, manufactures and buyers, RFID tech is used to connect different items. RFID tech makes it possible to collect data in logistics with a low cost and it can optimize the traditional method more efficiently. A platform using EPCGlobal standards supplies the base environment for high-level applications, such as abnormal event detection in a supply chain, frequent path mining and the retail theft prediction. This paper studies abnormal events detection in the supply network. The data captured from the EPC information service is used to calculate a path and the machine learning method is adopted to cluster the path.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3309-3312
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3309
• Online since: February 2014
• Authors: Shun Ping Huang*, Dong Wang
• Keywords: Abnormal Detection, Machine Learning, RFID

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