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Managing Perishable Inventory Systems with Product Returns and Remanufacturing

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  • Ke Fu
  • Xiting Gong
  • Guitian Liang

Abstract

Motivated by emerging practice in the cut flower industry, we consider a periodic‐review inventory system for a perishable product with a lifetime of two periods. There are two separate customer demands for the new product with two‐period remaining lifetime and the old product with one‐period remaining lifetime, and a fixed proportion of the unsatisfied demand for one product will purchase the other product as a substitute. One distinctive feature of our system is that a random portion of the sold new product is returned and can be remanufactured and remarketed as the old product for sale. The objective is to maximize the expected total discounted profit over a finite planning horizon. We show that the optimal remanufacturing policy is a modified base–stock policy, and that the optimal manufacturing quantity of the new product decreases in the inventory level of the old product after remanufacturing. Furthermore, when the inventory level of the old product is large, the optimal manufacturing quantity asymptotically approaches a constant, which is lower and upper bounded by two newsvendor fractile solutions. We also conduct a numerical study to derive insights into the effects of remanufacturing and demand substitution. In particular, we show that remanufacturing can be a powerful way of mitigating negative environmental impacts in the cut flower industry. Finally, we discuss two model extensions that allow a joint production capacity and a multi‐period lifetime.

Suggested Citation

  • Ke Fu & Xiting Gong & Guitian Liang, 2019. "Managing Perishable Inventory Systems with Product Returns and Remanufacturing," Production and Operations Management, Production and Operations Management Society, vol. 28(6), pages 1366-1386, June.
  • Handle: RePEc:bla:popmgt:v:28:y:2019:i:6:p:1366-1386
    DOI: 10.1111/poms.12987
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    Cited by:

    1. Ding, Xiaohui & Chen, Caihua & Li, Chongshou & Lim, Andrew, 2021. "Product demand estimation for vending machines using video surveillance data: A group-lasso method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    2. Zhou, Haijie & Chen, Kebing & Wang, Shengbin, 2023. "Two-period pricing and inventory decisions of perishable products with partial lost sales," European Journal of Operational Research, Elsevier, vol. 310(2), pages 611-626.
    3. Xu, Yuqiu & Wang, Jia & Cao, Kaiying, 2023. "Logistics mode strategy of firms selling fresh products on e-commerce platforms with private brand introduction," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. David A. Goldberg & Martin I. Reiman & Qiong Wang, 2021. "A Survey of Recent Progress in the Asymptotic Analysis of Inventory Systems," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1718-1750, June.
    5. Shouchang Chen & Yanzhi Li & Yi Yang & Weihua Zhou, 2021. "Managing Perishable Inventory Systems with Age‐differentiated Demand," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3784-3799, October.
    6. Amol Vasant Bhide & Milind M. Akarte, 2024. "Optimal Configuration Strategies for a Remanufacturing Firm: A Conceptual Framework," International Journal of Global Business and Competitiveness, Springer, vol. 19(1), pages 71-81, June.
    7. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
    8. Gökbayrak, Esra & Kayış, Enis, 2023. "Single item periodic review inventory control with sales dependent stochastic return flows," International Journal of Production Economics, Elsevier, vol. 255(C).

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