Adaptive product tracking in RFID-enabled large-scale supply chain

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摘要

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.

论文关键词:RFID,Product tracking,Supply chain,EPC Network,Adaptive learning,Reinforcement learning

论文评审过程:Available online 3 August 2010.

论文官网地址:https://doi.org/10.1016/j.eswa.2010.07.077