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Economical assessment of the impact of RFID technology and EPC system on the fast-moving consumer goods supply chain

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  • Bottani, Eleonora
  • Rizzi, Antonio

Abstract

This paper describes a research whose aim is to quantitatively assess the impact of radio frequency identification (RFID) technology and electronic product code (EPC) system on the main processes of the fast-moving consumer goods (FMCG) supply chain. A three-echelon supply chain is examined, composed of manufacturers, distributors and retailers of FMCG. A questionnaire survey was performed to collect both quantitative and qualitative data related to logistics processes of each player. Starting from these data, a feasibility study has been carried out in order to assess the economical suitability of RFID and EPC adoption in the FMCG supply chain, both for each player and for the FMCG supply chain as a whole. Results of the feasibility study show that RFID and EPC implementation is still not profitable for all echelons examined. Specifically, both from a "non-integrated" and from an "integrated" scenario, RFID adoption with pallet-level tagging provides positive revenues for all supply-chain players. Conversely, adopting a case-level tagging, substantial costs arise for manufacturers, involving negative economical results. Outcomes of this study provide an economical justification to the RFID and EPC implementation in the FMCG supply chain.

Suggested Citation

  • Bottani, Eleonora & Rizzi, Antonio, 2008. "Economical assessment of the impact of RFID technology and EPC system on the fast-moving consumer goods supply chain," International Journal of Production Economics, Elsevier, vol. 112(2), pages 548-569, April.
    • Handle: RePEc:eee:proeco:v:112:y:2008:i:2:p:548-569
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    References listed on IDEAS

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    1. Byrne, P.J. & Heavey, Cathal, 2006. "The impact of information sharing and forecasting in capacitated industrial supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 103(1), pages 420-437, September.
    2. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
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