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Reinvent Retail Supply Chain: Ship‐from‐Store‐to‐Store

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  • Rong Li

Abstract

Retailers such as Best Buy are reinventing their supply chains for the era of Omnichannel with new strategies like ship‐from‐store‐to‐store (SFSTS) where stores are also used as shipping points. Under the SFSTS practice, to fill the demand (offline and online) from a customer region, two or more nearby stores of the retailers’ frequently replenish from each other as well as from a distribution center (DC) to better prepare inventory before the demand arrives. We study how to best replenish the DC and multiple nearby stores under this new practice using a multi‐period inventory model with proactive transshipments. To the best of our knowledge, this study is the first to solve this model, and the characterized optimal replenishment policy is valuable especially as it differs significantly from the past relevant literature on single‐period models. In contrast, for the DC, although the procure‐up‐to policy is still optimal, the procure‐up‐to level is no longer constant but depends on all stores’ on‐hand inventory. For each store, the optimal policy no longer remains the same structure but changes with whether the DC procures inventory from the supplier. When the DC procures inventory, the stores’ optimal policy is no longer single‐threshold, but two‐threshold (order‐up‐to and ship‐down‐to); and these thresholds decrease in any other store’s on‐hand inventory. When the DC does not procure inventory, the stores ship between each other only when their inventories are imbalanced enough, and they ship until the benefit drops to just cover the shipping cost. Our results demonstrate that it is important to constantly track every store’s on‐hand inventory and it is much more complex to implement SFSTS with more nearby stores, despite the additional profit earned.

Suggested Citation

  • Rong Li, 2020. "Reinvent Retail Supply Chain: Ship‐from‐Store‐to‐Store," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1825-1836, August.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:8:p:1825-1836
    DOI: 10.1111/poms.13195
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    References listed on IDEAS

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    Cited by:

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    2. Cheng, Lihong & Guo, Xiaolong & Li, Xiaoxiao & Yu, Yugang, 2022. "Data-driven ordering and transshipment decisions for online retailers and logistics service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    3. Bansal, Vishal & Bisi, Arnab & Roy, Debjit & Venkateshan, Prahalad, 2024. "Integrated inventory replenishment and online demand allocation decisions for an omnichannel retailer with ship-from-store strategy," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1085-1100.
    4. He, Yi & Xu, Qingyun & Shao, Zhen, 2021. "“Ship-from-store” strategy in platform retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    5. Jiu, Song, 2022. "Robust omnichannel retail operations with the implementation of ship-from-store," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    6. Hübner, Alexander & Hense, Jonas & Dethlefs, Christian, 2022. "The revival of retail stores via omnichannel operations: A literature review and research framework," European Journal of Operational Research, Elsevier, vol. 302(3), pages 799-818.
    7. Yang, Lu & Li, Xiangyong & Zhong, Ning, 2022. "Omnichannel retail operations with mixed fulfillment strategies," International Journal of Production Economics, Elsevier, vol. 254(C).

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