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RFID-generated traceability for contaminated product recall in perishable food supply networks

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  • Piramuthu, Selwyn
  • Farahani, Poorya
  • Grunow, Martin
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    Abstract

    As perishable food supply networks become more complex, incidents of contamination in these supply networks have become fairly common. Added to this complexity is the fact that there have been long delays in identifying the contamination source in several such incidents. Even when the contamination source was identified, there have been cases where the ultimate destination of all contaminated products were not known with complete certainty due, in part, to dispersion in these supply networks. We study the recall dynamics in a three-stage perishable food supply network through three different visibility levels in the presence of contamination. Specifically, we consider allocation of liability among the different players in the perishable supply network based on the accuracy with which the contamination source is identified. We illustrate the significance of finer levels of granularity both upstream and downstream as well as determine appropriate visibility levels and recall policies.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 225 (2013)
    Issue (Month): 2 ()
    Pages: 253-262

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    Handle: RePEc:eee:ejores:v:225:y:2013:i:2:p:253-262

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Supply chain management; Contamination; Perishable food supply network; RFID; Information granularity;

    References

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    1. Piramuthu, Selwyn, 2005. "Knowledge-based framework for automated dynamic supply chain configuration," European Journal of Operational Research, Elsevier, vol. 165(1), pages 219-230, August.
    2. Zhou, Wei, 2009. "RFID and item-level information visibility," European Journal of Operational Research, Elsevier, vol. 198(1), pages 252-258, October.
    3. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    4. Fritz, Melanie & Schiefer, Gerhard, 2009. "Tracking, tracing, and business process interests in food commodities: A multi-level decision complexity," International Journal of Production Economics, Elsevier, vol. 117(2), pages 317-329, February.
    5. Loader, Rupert & Hobbs, Jill E., 1999. "Strategic responses to food safety legislation," Food Policy, Elsevier, vol. 24(6), pages 685-706, December.
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    Cited by:
    1. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
    2. Grunow, Martin & Piramuthu, Selwyn, 2013. "RFID in highly perishable food supply chains – Remaining shelf life to supplant expiry date?," International Journal of Production Economics, Elsevier, vol. 146(2), pages 717-727.
    3. Piramuthu, Selwyn & Wochner, Sina & Grunow, Martin, 2014. "Should retail stores also RFID-tag ‘cheap’ items?," European Journal of Operational Research, Elsevier, vol. 233(1), pages 281-291.

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