The Application of RFID Technology in Production Control in the Discrete Manufacturing Industry
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
RFID data management for effective objects tracking
Proceedings of the 2007 ACM symposium on Applied computing
A Framework for Outlier Mining in RFID data
IDEAS '07 Proceedings of the 11th International Database Engineering and Applications Symposium
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Patterns and technologies for enabling supply chain traceability through collaborative e-business
Information and Software Technology
Mining Massive RFID, Trajectory, and Traffic Data Sets
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Warehousing and mining massive RFID data sets
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
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In recent years, there have been many attempts to connect the latest RFID (Radio Frequency Identification) technology with EIS (Enterprise Information System) and utilize them. However, in most cases the focus is only on the simultaneous multiple reading capability of the RFID technology neglecting the management of massive data created from the reader. As a result, it is difficult to obtain time-related information such as flow prediction and analysis in process control. In this paper, we suggest a new method called 'procedure tree', an enhanced and complementary version of PathTree which is one of RFID data mining techniques, to manage massive RFID data sets effectively and to perform a real-time process control efficiently. We will evaluate efficiency of the proposed system after applying real-time process management system connected with the RFID-based EIS. Through the suggested method, we are able to perform such tasks as prediction or tracking of process flow for real-time process control and inventory management efficiently which the existing RFID-based production system could not have done.