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

Jong Myoung Ko, Choonjong Kwak, Youngho Cho, Chang Ouk Kim

Research output: Contribution to journalArticle

34 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1583-1590
Number of pages8
JournalExpert Systems with Applications
Volume38
Issue number3
DOIs
Publication statusPublished - 2011 Mar

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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