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RFID in highly perishable food supply chains – Remaining shelf life to supplant expiry date?

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  • Grunow, Martin
  • Piramuthu, Selwyn

Abstract

RFID (Radio-Frequency IDentification) has been proposed as a leading technology that could help reduce wastage in perishable food supply chains. This is due to their cost-effective ability to reliably identify tagged items as well as gather information on their ambient conditions through appropriate sensors. We model and study the utility of sensor-enabled RFID-generated item-level information in a highly perishable food supply chain from several perspectives including the distributor, retailer and consumer. With specific focus on expiry date and remaining shelf-life, we develop conditions under which the incorporation of RFID could benefit distributors, retailers and consumers. We also consider RFID investment decision in a highly perishable food supply chain.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:146:y:2013:i:2:p:717-727
    DOI: 10.1016/j.ijpe.2013.08.028
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    References listed on IDEAS

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    1. de Kok, A.G. & van Donselaar, K.H. & van Woensel, T., 2008. "A break-even analysis of RFID technology for inventory sensitive to shrinkage," International Journal of Production Economics, Elsevier, vol. 112(2), pages 521-531, April.
    2. Seungjin Whang, 2010. "Timing of RFID Adoption in a Supply Chain," Management Science, INFORMS, vol. 56(2), pages 343-355, February.
    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. Yacine Rekik, 2011. "Inventory inaccuracies in the wholesale supply chain," Post-Print hal-02312498, HAL.
    5. Rekik, Yacine, 2011. "Inventory inaccuracies in the wholesale supply chain," International Journal of Production Economics, Elsevier, vol. 133(1), pages 172-181, September.
    6. Zhou, Wei, 2009. "RFID and item-level information visibility," European Journal of Operational Research, Elsevier, vol. 198(1), pages 252-258, October.
    7. Piramuthu, Selwyn & Farahani, Poorya & Grunow, Martin, 2013. "RFID-generated traceability for contaminated product recall in perishable food supply networks," European Journal of Operational Research, Elsevier, vol. 225(2), pages 253-262.
    8. Piramuthu, Selwyn & Zhou, Wei, 2013. "RFID and perishable inventory management with shelf-space and freshness dependent demand," International Journal of Production Economics, Elsevier, vol. 144(2), pages 635-640.
    9. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
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    Cited by:

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    7. Bo Yan & Xiaoxu Chen & Qin Yuan & Xiaotai Zhou, 2020. "Sustainability in fresh agricultural product supply chain based on radio frequency identification under an emergency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1343-1361, December.
    8. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Reprint of “Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 113-125.
    9. Kouki, Chaaben & Jouini, Oualid, 2015. "On the effect of lifetime variability on the performance of inventory systems," International Journal of Production Economics, Elsevier, vol. 167(C), pages 23-34.
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    12. de Keizer, Marlies & Akkerman, Renzo & Grunow, Martin & Bloemhof, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2017. "Logistics network design for perishable products with heterogeneous quality decay," European Journal of Operational Research, Elsevier, vol. 262(2), pages 535-549.
    13. Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
    14. Xiang Ning Zhu & Gabrielle Peko & David Sundaram & Selwyn Piramuthu, 2022. "Blockchain-Based Agile Supply Chain Framework with IoT," Information Systems Frontiers, Springer, vol. 24(2), pages 563-578, April.
    15. Mosadegh Sedghy, Bahareh, 2018. "Evolution of Radio Frequency Identification (RFID) in Agricultural Cold Chain Monitoring: A Literature Review," MPRA Paper 94448, University Library of Munich, Germany, revised 04 Jan 2019.
    16. Lejarza, Fernando & Pistikopoulos, Ioannis & Baldea, Michael, 2021. "A scalable real-time solution strategy for supply chain management of fresh produce: A Mexico-to-United States cross border study," International Journal of Production Economics, Elsevier, vol. 240(C).
    17. Abderahman Rejeb & John G. Keogh & Suhaiza Zailani & Horst Treiblmaier & Karim Rejeb, 2020. "Blockchain Technology in the Food Industry: A Review of Potentials, Challenges and Future Research Directions," Logistics, MDPI, vol. 4(4), pages 1-26, October.
    18. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 51-62.
    19. Gaukler, Gary M. & Zuidwijk, Rob A. & Ketzenberg, Michael E., 2023. "The value of time and temperature history information for the distribution of perishables," European Journal of Operational Research, Elsevier, vol. 310(2), pages 627-639.
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    21. Mervegül Kirci & Olov Isaksson & Ralf Seifert, 2022. "Managing Perishability in the Fruit and Vegetable Supply Chains," Sustainability, MDPI, vol. 14(9), pages 1-24, April.

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