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Managing hospital platelet inventory with mid‐cycle expedited replenishments and returns

Author

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  • Kebing Chen
  • Jing‐Sheng Song
  • Jennifer Shang
  • Tiaojun Xiao

Abstract

Motivated by the need of small and medium‐sized hospitals to improve their platelet inventory management and achieve best practices, we consider an inventory system for a perishable product with a three‐period shelf life over a finite horizon. In the system, the regular replenishment in each cycle is supplemented by an inventory adjustment opportunity in mid‐cycle involving expedited orders and returns. We show that an optimal regular replenishment policy is an (s, S, S(x)) policy. Namely, if the initial net inventory x is below the threshold s, it is optimal to place a regular order to raise the inventory to a state‐independent target S; otherwise, raise the inventory to a state‐dependent target S(x). We also show that the mid‐cycle inventory adjustment policy is a control‐band policy with two thresholds. If the mid‐cycle net inventory is above the upper threshold, it is optimal to return the inventory in excess of that threshold to a central blood bank; if the mid‐cycle net inventory is below the lower threshold, it is optimal to expedite replenishment up to that threshold; otherwise, do nothing. If non‐fresh platelets are used in the expedited order, we can obtain closed‐form expressions for the optimal policy parameters. When fresh platelets are used for the expedited order, we apply anti‐multimodularity techniques to establish structural properties of the optimal policy to guide practice and reveal the substitution relationship between the replenishment quantity and the existing inventory of various ages. These structural properties also hold for the case of general shelf lives. Our numerical study shows that the more flexible and adaptive policy proposed in this research outperforms those studied in the literature.

Suggested Citation

  • Kebing Chen & Jing‐Sheng Song & Jennifer Shang & Tiaojun Xiao, 2022. "Managing hospital platelet inventory with mid‐cycle expedited replenishments and returns," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2015-2037, May.
  • Handle: RePEc:bla:popmgt:v:31:y:2022:i:5:p:2015-2037
    DOI: 10.1111/poms.13662
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    References listed on IDEAS

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    1. Civelek, Ismail & Karaesmen, Itir & Scheller-Wolf, Alan, 2015. "Blood platelet inventory management with protection levels," European Journal of Operational Research, Elsevier, vol. 243(3), pages 826-838.
    2. Liu, Liming & Yang, Tao, 1999. "An (s,[punctuation space]S) random lifetime inventory model with a positive lead time," European Journal of Operational Research, Elsevier, vol. 113(1), pages 52-63, February.
    3. Huanan Zhang & Cong Shi & Xiuli Chao, 2016. "Technical Note—Approximation Algorithms for Perishable Inventory Systems with Setup Costs," Operations Research, INFORMS, vol. 64(2), pages 432-440, April.
    4. Ye Lu & Miao Song & Yi Yang, 2018. "Approximation Approaches for Inventory Systems with General Production/Ordering Cost Structures," Production and Operations Management, Production and Operations Management Society, vol. 27(3), pages 417-432, March.
    5. Steven Nahmias & William P. Pierskalla, 1973. "Optimal ordering policies for a product that perishes in two periods subject to stochastic demand," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 20(2), pages 207-229, June.
    6. Xin Chen & Zhan Pang & Limeng Pan, 2014. "Coordinating Inventory Control and Pricing Strategies for Perishable Products," Operations Research, INFORMS, vol. 62(2), pages 284-300, April.
    7. William P. Pierskalla & Chris D. Roach, 1972. "Optimal Issuing Policies for Perishable Inventory," Management Science, INFORMS, vol. 18(11), pages 603-614, July.
    8. Yi Yang & Youhua (Frank) Chen & Yun Zhou, 2014. "Coordinating Inventory Control and Pricing Strategies Under Batch Ordering," Operations Research, INFORMS, vol. 62(1), pages 25-37, February.
    9. Qing Li & Peiwen Yu & Xiaoli Wu, 2017. "Shelf Life Extending Packaging, Inventory Control and Grocery Retailing," Production and Operations Management, Production and Operations Management Society, vol. 26(7), pages 1369-1382, July.
    10. Li‐Ming Chen & Amar Sapra, 2013. "Joint inventory and pricing decisions for perishable products with two‐period lifetime," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(5), pages 343-366, August.
    11. Borga Deniz & Itir Karaesmen & Alan Scheller-Wolf, 2010. "Managing Perishables with Substitution: Inventory Issuance and Replenishment Heuristics," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 319-329, July.
    12. Deming Zhou & Lawrence C. Leung & William P. Pierskalla, 2011. "Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 420-438, October.
    13. Hailun Zhang & Jiheng Zhang & Rachel Q. Zhang, 2020. "Simple Policies with Provable Bounds for Managing Perishable Inventory," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2637-2650, November.
    14. Qing Li & Peiwen Yu, 2014. "Multimodularity and Its Applications in Three Stochastic Dynamic Inventory Problems," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 455-463, July.
    15. Bruce Hajek, 1985. "Extremal Splittings of Point Processes," Mathematics of Operations Research, INFORMS, vol. 10(4), pages 543-556, November.
    16. Yenho Chung & Feryal Erhun, 2013. "Designing supply contracts for perishable goods with two periods of shelf life," IISE Transactions, Taylor & Francis Journals, vol. 45(1), pages 53-67.
    17. Guillermo Gallego & Ming Hu, 2014. "Dynamic Pricing of Perishable Assets Under Competition," Management Science, INFORMS, vol. 60(5), pages 1241-1259, May.
    18. Chen, Kebing & Xiao, Tiaojun, 2011. "Ordering policy and coordination of a supply chain with two-period demand uncertainty," European Journal of Operational Research, Elsevier, vol. 215(2), pages 347-357, December.
    19. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
    20. Shouchang Chen & Yanzhi Li & Weihua Zhou, 2019. "Joint Decisions for Blood Collection and Platelet Inventory Control," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1674-1691, July.
    21. Puranam, Kartikeya & Novak, David C. & Lucas, Marilyn T. & Fung, Mark, 2017. "Managing blood inventory with multiple independent sources of supply," European Journal of Operational Research, Elsevier, vol. 259(2), pages 500-511.
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    1. 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.

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