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

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 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

Engineering(all)
Computer Science Applications
Artificial Intelligence

Access to Document

10.1016/j.eswa.2010.07.077

Fingerprint Dive into the research topics of 'Adaptive product tracking in RFID-enabled large-scale supply chain'. Together they form a unique fingerprint.

Cite this

Ko, J. M., Kwak, C., Cho, Y., & Kim, C. O. (2011). Adaptive product tracking in RFID-enabled large-scale supply chain. Expert Systems with Applications, 38(3), 1583-1590. https://doi.org/10.1016/j.eswa.2010.07.077

@article{d5a11078690048bea8b1f039f0961295,

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.",

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

year = "2011",

month = mar,

doi = "10.1016/j.eswa.2010.07.077",

language = "English",

volume = "38",

pages = "1583--1590",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Elsevier Limited",

number = "3",

}

TY - JOUR

T1 - Adaptive product tracking in RFID-enabled large-scale supply chain

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.

UR - http://www.scopus.com/inward/record.url?scp=78049527626&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78049527626&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2010.07.077

DO - 10.1016/j.eswa.2010.07.077

M3 - Article

AN - SCOPUS:78049527626

VL - 38

SP - 1583

EP - 1590

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 3

ER -