A Novel Method for Modeling RFID Data

The applications of Radio Frequency Identification (RFID) and Electronic Product Code (EPC) in supply chain management have vast potential in improving effectiveness and efficiencies in solving supply chain problems. RFID data, however, have their own unique characteristics – including aggregation, location, temporal and history-oriented – which have to be fully considered and integrated into the RFID data model which is constructed for RFID application system. In this paper, we use an expressive temporal data model for RFID data. This data model is based on Entity-Relation (ER) model with minimum extension and highlights the state history and temporal semantics of the RFID system business processes. We also show common RFID data tracking and monitoring types, and propose methods to express such queries based on this data model.