摘要

To optimize Supply Chain system by mining mass RFID (Radio Frequency Identification) data has been an important research area. In this paper, we provide a data analysis method for RFID supply chain based on time series for the exceptions like non-effective transportation and so on, which are hard to be detected in the circulation of supply chain. This method first turns RFID data in each transportation phase or storage phase into the unified form of time series which can reflect the circulation situation of each phase; then carries time series analyze on the RFID data by the method of subsection tendency analyze, builds the threshold by the random items and builds the corresponding time series analysis model; at last checks the RFID data if they are abnormal based on these models. Through multi-sample and multi-dataset experiment, the result shows that our method is effective and efficient.

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