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Inventory renewal for a perishable product: Economies of scale and age‐dependent demand

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  • Li‐Ming Chen
  • Amar Sapra

Abstract

We consider a finite‐horizon, periodic‐review system for a perishable product at a retailer that faces stochastic, age‐dependent demand and loses excess demand, if any. For this system, we build three models that capture two sources of unfilled demand, insufficient inventory and inappropriate age, and penalize them at different rates. The models are characterized by increasing replenishment flexibility, and the goal of each model is to identify when to place an order and the quantity whenever an order is placed. In the first model, reorder intervals are equal. In the second model, reorder intervals can vary across orders. In the third model, reorder intervals continue to remain flexible but the retailer can also partially salvage her inventory whenever she has excess inventory. Using the models, we explore the effect of lost‐sales penalties on the structure of the optimal value function. We find that the inventory‐related cost in a period may lack convexity if the ratio of penalties for stockout and high age is below a threshold, which percolates to the value function as well. We also identify properties of the optimal replenishment policy for the three models. Finally, we conduct numerical experiments to identify the marginal value added by the flexibility in reorder intervals and the option to partially salvage inventory as a function of model parameters.

Suggested Citation

  • Li‐Ming Chen & Amar Sapra, 2021. "Inventory renewal for a perishable product: Economies of scale and age‐dependent demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 359-377, April.
  • Handle: RePEc:wly:navres:v:68:y:2021:i:3:p:359-377
    DOI: 10.1002/nav.21956
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    1. Eric Brodheim & Cyrus Derman & Gregory Prastacos, 1975. "On the Evaluation of a Class of Inventory Policies for Perishable Products Such as Blood," Management Science, INFORMS, vol. 21(11), pages 1320-1325, July.
    2. Eric T. Anderson & Gavan J. Fitzsimons & Duncan Simester, 2006. "Measuring and Mitigating the Costs of Stockouts," Management Science, INFORMS, vol. 52(11), pages 1751-1763, November.
    3. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    4. Michael Ketzenberg & Jacqueline Bloemhof & Gary Gaukler, 2015. "Managing Perishables with Time and Temperature History," Production and Operations Management, Production and Operations Management Society, vol. 24(1), pages 54-70, January.
    5. Brant E. Fries, 1975. "Optimal Ordering Policy for a Perishable Commodity with Fixed Lifetime," Operations Research, INFORMS, vol. 23(1), pages 46-61, February.
    6. Hossein Abouee‐Mehrizi & Opher Baron & Oded Berman & David Chen, 2019. "Managing Perishable Inventory Systems with Multiple Priority Classes," Production and Operations Management, Production and Operations Management Society, vol. 28(9), pages 2305-2322, September.
    7. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    8. Leon Yang Chu & Vernon Ning Hsu & Zuo‐Jun Max Shen, 2005. "An economic lot‐sizing problem with perishable inventory and economies of scale costs: Approximation solutions and worst case analysis," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(6), pages 536-548, September.
    9. Qing Li & Peiwen Yu & Xiaoli Wu, 2016. "Managing Perishable Inventories in Retailing: Replenishment, Clearance Sales, and Segregation," Operations Research, INFORMS, vol. 64(6), pages 1270-1284, December.
    10. 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.
    11. Minner, Stefan & Transchel, Sandra, 2017. "Order variability in perishable product supply chains," European Journal of Operational Research, Elsevier, vol. 260(1), pages 93-107.
    12. 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.
    13. 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.
    14. Steven Nahmias, 1975. "Optimal Ordering Policies for Perishable Inventory—II," Operations Research, INFORMS, vol. 23(4), pages 735-749, August.
    15. Donald B. Rosenfield, 1989. "Disposal of Excess Inventory," Operations Research, INFORMS, vol. 37(3), pages 404-409, June.
    16. 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.
    17. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    18. Steven Nahmias, 1977. "On Ordering Perishable Inventory when Both Demand and Lifetime are Random," Management Science, INFORMS, vol. 24(1), pages 82-90, September.
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