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A methodological approach to optimizing RFID deployment

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Abstract

The interest of adopting RFID continues to grow in many industries, ranging from supply chain automation to healthcare management. However, dynamics of the operating environment is one of the major challenges that impede RFID deployment. Even though numerous researchers focus on controlled laboratory experiments to enhance the success of deployment, it is found that system performance in the actual production environment may differ significantly from that conducted in a controlled laboratory, resulting in poor deployment result. To cope with this situation, this paper proposes an RFID Deployment Optimizer (RFIDDO), which is a generic methodology for optimizing the RFID configuration to provide objective, quantifiable data about the data capture performance of RFID readers for comparing and optimizing RFID applications in a scientific manner. A case study has also been conducted in a logistics company to demonstrate the implementation of RFIDDO and provide contextual details to help other firms in coping with the environmental dynamics in the journey of RFID deployment.

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Acknowledgments

The authors would like to express their sincere thanks to the Research Committee of The Hong Kong Polytechnic University for its financial support of the research work. Many thanks are also due to the Innovation Technology Commission of the Government of the Hong Kong Special Administrative Region of the People’s Republic of China for providing the resources for the research work (Project no. GHS/091/04).

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

    Benny C. F. Cheung, S. L. Ting, Albert H. C. Tsang & W. B. Lee

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  1. Benny C. F. Cheung
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  2. S. L. Ting
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  3. Albert H. C. Tsang
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  4. W. B. Lee
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Correspondence to S. L. Ting.

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Cheung, B.C.F., Ting, S.L., Tsang, A.H.C. et al. A methodological approach to optimizing RFID deployment. Inf Syst Front 16, 923–937 (2014). https://doi.org/10.1007/s10796-012-9391-8

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  • DOI: https://doi.org/10.1007/s10796-012-9391-8

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