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Assessing the impact of perishability and the use of time temperature technologies on inventory management

Author

Listed:
  • Chaaben Kouki

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Evren Sahin

    (Ecole Centrale Paris, LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Zied Jemai

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Yves Dallery

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

This paper investigates the impact of product perishability on the known (r,Q) inventory review policy and the benefits of using Time Temperature integrator technology (TTI) on inventory management. We first formulate an (r,Q) inventory model for perishables having a fixed lifetime. Then, we derive the operating costs of the inventory system when a TTI technology is used. We consider here two types of TTI technology: TTI type 1 technology which enables to monitor products' freshness and alert when products are no more fresh and TTI type 2 technology which gives an information on products' remaining shelf lives. We develop a numerical analysis to illustrate the advantages of using the proposed policy without TTI compared to the classical (r, Q) system which ignores the perishability of products. Finally, we study the cost improvement achieved when a TTI technology is deployed.

Suggested Citation

  • Chaaben Kouki & Evren Sahin & Zied Jemai & Yves Dallery, 2013. "Assessing the impact of perishability and the use of time temperature technologies on inventory management," Post-Print hal-01672396, HAL.
    • Handle: RePEc:hal:journl:hal-01672396
    DOI: 10.1016/j.ijpe.2010.09.032
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    Citations

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    Cited by:

    1. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
    2. Dilupa Nakandala & Henry Lau & Paul K.C. Shum, 2017. "A lateral transshipment model for perishable inventory management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5341-5354, September.
    3. Kouki, Chaaben & Jemaï, Zied & Minner, Stefan, 2015. "A lost sales (r, Q) inventory control model for perishables with fixed lifetime and lead time," International Journal of Production Economics, Elsevier, vol. 168(C), pages 143-157.
    4. Broekmeulen, Rob A.C.M. & van Donselaar, Karel H., 2019. "Quantifying the potential to improve on food waste, freshness and sales for perishables in supermarkets," International Journal of Production Economics, Elsevier, vol. 209(C), pages 265-273.
    5. Chernonog, Tatyana, 2020. "Inventory and marketing policy in a supply chain of a perishable product," International Journal of Production Economics, Elsevier, vol. 219(C), pages 259-274.
    6. Ketzenberg, Michael & Gaukler, Gary & Salin, Victoria, 2018. "Expiration dates and order quantities for perishables," European Journal of Operational Research, Elsevier, vol. 266(2), pages 569-584.
    7. Siawsolit, Chokdee & Gaukler, Gary M., 2021. "Offsetting omnichannel grocery fulfillment cost through advance ordering of perishables," International Journal of Production Economics, Elsevier, vol. 239(C).
    8. Kouki, Chaaben & Babai, M. Zied & Jemai, Zied & Minner, Stefan, 2016. "A coordinated multi-item inventory system for perishables with random lifetime," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 226-237.
    9. Gaukler, Gary & Ketzenberg, Michael & Salin, Victoria, 2017. "Establishing dynamic expiration dates for perishables: An application of rfid and sensor technology," International Journal of Production Economics, Elsevier, vol. 193(C), pages 617-632.
    10. 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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