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
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