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

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

doi:10.1016/j.eswa.2010.07.077

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

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

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

41 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 language	English
Pages (from-to)	1583-1590
Number of pages	8
Journal	Expert Systems with Applications
Volume	38
Issue number	3
DOIs	https://doi.org/10.1016/j.eswa.2010.07.077
Publication status	Published - 2011 Mar

All Science Journal Classification (ASJC) codes

General Engineering
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2010.07.077

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title = "Adaptive product tracking in RFID-enabled large-scale supply chain",

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 = "Adaptive learning, EPC Network, Product tracking, RFID, Reinforcement learning, Supply chain",

author = "Ko, {Jong Myoung} and Choonjong Kwak and Youngho Cho and Kim, {Chang Ouk}",

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AU - Ko, Jong Myoung

AU - Kwak, Choonjong

AU - Cho, Youngho

AU - Kim, Chang Ouk

PY - 2011/3

Y1 - 2011/3

N2 - 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.

AB - 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.

KW - Adaptive learning

KW - EPC Network

KW - Product tracking

KW - RFID

KW - Reinforcement learning

KW - Supply chain

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

Abstract

All Science Journal Classification (ASJC) codes

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