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

  • Authors:

  • Jong Myoung Ko;Choonjong Kwak;Youngho Cho;Chang Ouk Kim

  • Affiliations:

  • Department of Information and Industrial Engineering, Yonsei University, Seoul 120-749, Republic of Korea;Division of Business Administration, College of Business, Pusan National University, Busan 609-735, Republic of Korea;Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA;Department of Information and Industrial Engineering, Yonsei University, Seoul 120-749, Republic of Korea

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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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.