Title of article :
Adaptive product tracking in RFID-enabled large-scale supply chain
Author/Authors :
Ko، نويسنده , , Jong Myoung and Kwak، نويسنده , , Choonjong and Cho، نويسنده , , Youngho and Kim، نويسنده , , Chang Ouk، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
8
From page :
1583
To page :
1590
Abstract :
The Radio Frequency Identification (RFID) technology is gradually being adopted and deployed for product flow management in the supply chain. In order to track RFID-tagged products efficiently in the RFID-enabled, large-scale supply chain, this paper first presents the design of a product tracking system that can collaborate with the EPC Network, a suite of network services for RFID data management in the supply chain. Next, we explain a product monitoring procedure that is performed by comparing the actual path of a product with its planned path. Finally, we develop an adaptive product search algorithm based on a reinforcement learning technique to efficiently locate a product deviated from its planned path. Experiment results are provided to show the performance of the search algorithm.
Keywords :
RFID , Supply chain , Product tracking , EPC Network , reinforcement learning , adaptive learning
Journal title :
Expert Systems with Applications
Serial Year :
2011
Journal title :
Expert Systems with Applications
Record number :
2348798
Link To Document :
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