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J4  2009, Vol. 43 Issue (12): 2196-2202    DOI: 10.3785/j.issn.1008-973X.2009.12.012
    
Multi-layered model for radio frequency identification adoption oriented to discrete manufacturing enterprise
BAI Ao, TANG Ren-zhong, WANG Zhi-guo, QI Guo-ning
(Institute of Manufacturing Engineering, Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, Zhejiang University, Hangzhou 310027,China)
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Abstract  

A multi-layered model centering on critical success factor/capability maturity model/technology acceptance model(CSF/CMM/TAM) was proposed to improve the efficiency and success rate of radio frequency identification(RFID) adoption for small and medium-sized discrete manufacturing enterprise(SM-DME).Main-obstacles of RFID adoption were analyzed;differences between RFID and other enterprise information systems(EIS) were compared;CSF, CMM and TAM for RFID adoption were researched.Then a multi-layered model for RFID adoption(RFID-AMM) consisting of business layer,application layer,management layer,factor layer,ability layer,user layer,method layer,implementation layer,integration layer and target layer was constructed, and its function mechanism was described using formal language. A RFID adoption assisted analysis platform(RFID-AAAP) was developed to simplify computation.Practical application in a garment manufacturer proves that the proposed model can meet the need of RFID adoption for SM-DME.



Published: 16 January 2010
CLC:     
  F 270.7  
  TH 166  
  TP 311  
Cite this article:

BAI Ao, TANG Lin-Zhong, WANG Zhi-Guo, et al. Multi-layered model for radio frequency identification adoption oriented to discrete manufacturing enterprise. J4, 2009, 43(12): 2196-2202.

URL:

http://www.zjujournals.com/eng/ 10.3785/j.issn.1008-973X.2009.12.012     OR     http://www.zjujournals.com/eng/Y2009/V43/I12/2196


离散制造业射频识别技术导入的多层决策模型

为提高中小离散制造企业射频识别技术(RFID)导入的效率和成功率,提出了一种关键成功因素/能力成熟度/技术接受度(CSF/CMM/TAM)为核心的多层次模型.分析了RFID导入障碍,比较了RFID与其他企业信息系统之间的区别,研究了针对RFID导入的关键成功因素、能力成熟度模型和技术接受模型.在此基础上构建了由业务层、应用层、管理层、因素层、能力层、用户层、方法层、实施层、集成层和目标层组成的多层次RFID导入模型,并用形式化语言描述了其作用机理.为简化计算,开发了RFID导入辅助分析平台.某服装制造企业的实际应用表明,该模型能满足中小离散制造企业导入RFID的要求.


[1] SHARMA A,THOMAS D,KONSYNSKI B.Strategic and institutional perspectives in the evaluation, adoption and early integration of radio frequency identification (RFID): an empirical investigation of current and potential adopters
[C]∥Proceedings of the 41st Hawaii International Conference on System Sciences.Hawaii:IEEE,2008: 407-407.

[2] LUO Z W,WANG E C,TAN C J,et al.Apply model integration in RFID technology adoption analysis
[C]∥ Proceedings of the IEEE International Conference on Automation and Logistics.Hawaii:IEEE,2007: 2931-2935.

[3] LEE L S,FIEDLER K D,SMITH J S.Radio frequency identification (RFID) implementation in the service sector: a customer-facing diffusion model
[J]. International Journal of Production Economics,2007, 112(2): 587-600.

[4] VOJDANI N,SPITZNAGEL J,RESCH S.A process- and knowledge-based model to identify and to evaluate the potential of RFID applications
[C]∥2006 World Automation Congress. Budapest:IEEE,2006: 4259-891.

[5] ROCKART J F.Chief executives define their own data needs
[J].Harvard Business Review,1979, 57(2): 81-93.

[6] 黄喜,丁祥海,唐任仲.制造企业资源规划实施能力的评测方法
[J].浙江大学学报:工学版,2007,41(2):319-324.
HUANG Xi,DING Xiang-hai,TANG Ren-zhong.Technique for evaluating implementation capacity of manufacturing enterprise resource planning
[J]. Journal of Zhejiang University: Engineering Science,2007,41(2):319-324.

[7] 何新贵.软件能力成熟度模型CMM的框架与内容
[J].计算机应用,2001,21(3):1-5.
HE Xin-gui.Frame and contents of SEI’s capability maturity model
[J].Journal of Computer Applications,2001,21(3):1-5.

[8] CHENG Y H,YANG A S.Investigating key factors of deciding RFID’s adoption in logistics service providers
[C]∥Proceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design. Melbourne:IEEE,2007: 1128-1133.

[9] 马艳峰,王雅林.制造业企业信息技术能力评价研究
[J].计算机集成制造系统,2007,13(9): 1743-1749.
MA Yan-feng,WANG Ya-lin.Evaluation of information technology capability in manufacturing enterprises
[J].Computer Integrated Manufacturing Systems,2007,13(9):1743-1749.

[10] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology
[J].MIS Quarterly,1989, 13(3): 319-340.

[11] 胡安安,姜江,黄丽华.基于信息技术用户接受理论的ERP系统实施模型研究
[J].科学学与科学技术管理,2007,28(8):20-26.
HU An-an,JIANG Jiang,HUANG Li-hua.A study of ERP system implementation model based on end-users’ acceptance theories
[J].Science of Science and Management of S & T,2007,28 (8):20-26.

[12] 李响烁,祁国宁,刘海强,等.面向产品全生命周期管理系统的增量式聚合开发实施方法研究
[J].计算机集成制造系统,2007,13(12):2427-2432.
LI Xiang-shuo,QI Guo-ning,LIU Hai-qiang,et al.Incremental-convergent method for development and implementation of product lifecycle management system
[J].Computer Integrated Manufacturing Systems, 2007,13(12):2427-2432.

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