Journal of Intelligent Manufacturing

, volume 23 , issue 6 , pages 2343-2356

A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers

T. QU ¹

H.D Yang ²

George Q. Huang ¹

Y. F. Zhang ^{1, 3}

H. Luo ¹

W. QIN ¹

Hide authors affiliations Show authors affiliations: 3 affiliations

Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong, People’s Republic of China |

College of Automation Science and Engineering, South China University of Technology, Guangzhou, People’s Republic of China |

Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an, People’s Republic of China |

Publication type: Journal Article

Publication date: 2010-11-04

Springer Nature

Journal of Intelligent Manufacturing

scimago Q1

wos Q1

SJR: 1.763

CiteScore: 16.5

Impact factor: 7.4

ISSN: 09565515, 15728145

DOI: 10.1007/s10845-010-0476-2

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Industrial and Manufacturing Engineering

Artificial Intelligence

Software

Abstract

Radio Frequency Identification (RFID) technologies provide automatic and accurate object data capturing capability and enable real-time object visibility and traceability. Potential benefits have been widely reported for improving manufacturing shop-floor management. However, reports on how such potentials come true in real-life shop-floor daily operations are very limited. As a result, skeptics overwhelm enthusiasm. This paper contributes to the re-vitalization of RFID efforts in manufacturing industries by presenting a real-life case study of applying RFID for managing material distribution in a complex assembly shop-floor at a large air conditioner manufacturer. The case study discusses how technical, social and organizational issues have been addressed throughout the project within the company. It is hoped that insights and lessons gained be generalized for future efforts across household electrical appliance manufacturers that share similar shop-floor.

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GOST |

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GOST Copy

QU T. et al. A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers // Journal of Intelligent Manufacturing. 2010. Vol. 23. No. 6. pp. 2343-2356.

GOST all authors (up to 50) Copy

QU T., Yang H., Huang G. Q., Zhang Y. F., Luo H., QIN W. A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers // Journal of Intelligent Manufacturing. 2010. Vol. 23. No. 6. pp. 2343-2356.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1007/s10845-010-0476-2

UR - https://doi.org/10.1007/s10845-010-0476-2

TI - A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers

T2 - Journal of Intelligent Manufacturing

AU - QU, T.

AU - Yang, H.D

AU - Huang, George Q.

AU - Zhang, Y. F.

AU - Luo, H.

AU - QIN, W.

PY - 2010

DA - 2010/11/04

PB - Springer Nature

SP - 2343-2356

IS - 6

VL - 23

SN - 0956-5515

SN - 1572-8145

ER -

BibTex |

Cite this

BibTex (up to 50 authors) Copy

@article{2010_QU,

author = {T. QU and H.D Yang and George Q. Huang and Y. F. Zhang and H. Luo and W. QIN},

title = {A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers},

journal = {Journal of Intelligent Manufacturing},

year = {2010},

volume = {23},

publisher = {Springer Nature},

month = {nov},

url = {https://doi.org/10.1007/s10845-010-0476-2},

number = {6},

pages = {2343--2356},

doi = {10.1007/s10845-010-0476-2}

}

MLA

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MLA Copy

QU, T., et al. “A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers.” Journal of Intelligent Manufacturing, vol. 23, no. 6, Nov. 2010, pp. 2343-2356. https://doi.org/10.1007/s10845-010-0476-2.

Publisher

Springer Nature

Journal

Journal of Intelligent Manufacturing

scimago Q1

wos Q1

SJR

1.763

CiteScore

16.5

Impact factor

7.4

ISSN

09565515 (Print)

15728145 (Electronic)