Abstract—We focus on the data models for storing the data
generated by radio frequency identification (RFID) transactions
and architectures for processing such data. We consider the
supply chain comprised of the manufacturer, distributor, retailer,
and the consumer. We discuss details of the data generated by
RFID transactions and data models to store such data. Different
organizations in the supply chain may use this data for different
applications such as automatic product ordering, shelf replenishment,
and product recall.We present models to anticipate the data
requirements generated by RFID transactions and indicate how
existing enterprise applications can be adapted to handle RFID
data. The results presented in this paper will help a practitioner
to 1) design and develop databases and applications for handling
RFID data and 2) significantly reduce the storage requirements of
RFID data. Using the data architectures, we discuss two supply
chain applications—product recall and shelf replenishment—in
detail.We present analytical models for the cost and time required
for shelf replenishment in a retail store.
Index Terms—Data models, database architectures, electronic
product code (EPC), enterprise resource planning (ERP) systems,
information storage, supply chain information systems.







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