RFID-enabled real-time manufacturing execution system for mass-customization production

Ray Y. Zhong; Q. Y. Dai; T. Qu; G. J. Hu; George Q. Huang

doi:10.1016/j.rcim.2012.08.001

RFID-enabled real-time manufacturing execution system for mass-customization production

Ray Y. Zhong, Q. Y. Dai, T. Qu, G. J. Hu, George Q. Huang

Research output: Journal article publication › Journal article › Academic research › peer-review

424 Citations (Scopus)

Abstract

Mass-customization production (MCP) companies must fight with shop-floor uncertainty and complexity caused by wide variety of product components. The research is motivated by a typical MCP company that has experienced inefficient scheduling due to paper-based identification and manual data collection. This paper presents an RFID-enabled real-time manufacturing execution system (RT-MES). RFID devices are deployed systematically on the shop-floor to track and trace manufacturing objects and collect real-time production data. Disturbances are identified and controlled within RT-MES. Planning and scheduling decisions are more practically and precisely made and executed. Online facilities are provided to visualize and manage real-time dynamics of shop-floor WIP (work-in-progress) items. A case study is reported in a collaborating company which manufactures large-scale and heavy-duty machineries. The efficiency and effectiveness of the proposed RT-MES are evaluated with real-life industrial data for shop-floor production management in terms of workers, machines and materials.

Original language	English
Pages (from-to)	283-292
Number of pages	10
Journal	Robotics and Computer-Integrated Manufacturing
Volume	29
Issue number	2
DOIs	https://doi.org/10.1016/j.rcim.2012.08.001
Publication status	Published - Apr 2013
Externally published	Yes

Keywords

Manufacturing execution system (MES)
Mass-customization production (MCP)
Radio frequency identification (RFID)
Real-time
Work-in-progress (WIP)

ASJC Scopus subject areas

Control and Systems Engineering
Software
General Mathematics
Computer Science Applications
Industrial and Manufacturing Engineering

More information

10.1016/j.rcim.2012.08.001

Cite this

@article{d190969cbba04a9abe96aea8eec95b3f,

title = "RFID-enabled real-time manufacturing execution system for mass-customization production",

abstract = "Mass-customization production (MCP) companies must fight with shop-floor uncertainty and complexity caused by wide variety of product components. The research is motivated by a typical MCP company that has experienced inefficient scheduling due to paper-based identification and manual data collection. This paper presents an RFID-enabled real-time manufacturing execution system (RT-MES). RFID devices are deployed systematically on the shop-floor to track and trace manufacturing objects and collect real-time production data. Disturbances are identified and controlled within RT-MES. Planning and scheduling decisions are more practically and precisely made and executed. Online facilities are provided to visualize and manage real-time dynamics of shop-floor WIP (work-in-progress) items. A case study is reported in a collaborating company which manufactures large-scale and heavy-duty machineries. The efficiency and effectiveness of the proposed RT-MES are evaluated with real-life industrial data for shop-floor production management in terms of workers, machines and materials.",

keywords = "Manufacturing execution system (MES), Mass-customization production (MCP), Radio frequency identification (RFID), Real-time, Work-in-progress (WIP)",

author = "Zhong, {Ray Y.} and Dai, {Q. Y.} and T. Qu and Hu, {G. J.} and Huang, {George Q.}",

note = "Funding Information: Authors would like to acknowledge 2009 Guangdong Modern Information Service Fund ( GDIID2009IS048 ), 2010 Guangdong Department of Science and Technology Funding ( 2010B050100023 ), National Natural Science Foundation of China ( 61074146, 51105081 ), Industry-University-Research Cooperation Key Project of Guangdong Science and Technology Commission ( 2011B090400409 ), Guangdong College Talent Import Scheme (2011) , Guangzhou Pearl River New Star Fund Science and Technology Planning Project ( 2011J2200017 ), and HKU Seed Funding for Basic Research ( 201111159135 ). Key Laboratory of Internet of Manufacturing Things Technology and Engineering of Development and Reform Commission of Guangdong Province, Guangdong University of Technology and International Collaborative Project of Guangdong High Education Institution ( gjhz1005 ).",

year = "2013",

month = apr,

doi = "10.1016/j.rcim.2012.08.001",

language = "English",

volume = "29",

pages = "283--292",

journal = "Robotics and Computer-Integrated Manufacturing",

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publisher = "Elsevier Ltd",

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AU - Zhong, Ray Y.

AU - Dai, Q. Y.

AU - Qu, T.

AU - Hu, G. J.

AU - Huang, George Q.

N1 - Funding Information: Authors would like to acknowledge 2009 Guangdong Modern Information Service Fund ( GDIID2009IS048 ), 2010 Guangdong Department of Science and Technology Funding ( 2010B050100023 ), National Natural Science Foundation of China ( 61074146, 51105081 ), Industry-University-Research Cooperation Key Project of Guangdong Science and Technology Commission ( 2011B090400409 ), Guangdong College Talent Import Scheme (2011) , Guangzhou Pearl River New Star Fund Science and Technology Planning Project ( 2011J2200017 ), and HKU Seed Funding for Basic Research ( 201111159135 ). Key Laboratory of Internet of Manufacturing Things Technology and Engineering of Development and Reform Commission of Guangdong Province, Guangdong University of Technology and International Collaborative Project of Guangdong High Education Institution ( gjhz1005 ).

PY - 2013/4

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RFID-enabled real-time manufacturing execution system for mass-customization production

Abstract

Keywords

ASJC Scopus subject areas

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