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Optimal Discounting and Replenishment Policies for Perishable Products

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  • Chua, Geoffrey A.
  • Mokhlesi, Reza
  • Sainathan, Arvind

Abstract

We consider a retailer, selling a perishable product with short shelf-life and uncertain demand, facing these key decisions: (a) whether to discount old(er) items, (b) how much discount to offer, and (c) what should be the replenishment policy. In order to better understand the impact of consumer behavior and shelf-life on these decisions, we consider four models. In Model A, the product has a shelf life of two periods and the retailer decides whether or not to offer a discount. The amount of discount is exogenous and assumed to be large enough so that all the customers prefer the old product to the new one when a discount is offered. Based on several numerical examples, we find that a threshold discounting policy, in which a discount is offered if and only if the inventory of old product is below a threshold, is optimal. In Model B, the retailer also decides how much discount to offer. Model C extends Model B and considers a new pool of customers who are willing to purchase from the retailer when a discount is offered. In both Models B and C, the product has a shelf-life of two periods while Model D explores what happens with longer shelf-life. We analyze and compare these models to present different managerial insights.

Suggested Citation

  • Chua, Geoffrey A. & Mokhlesi, Reza & Sainathan, Arvind, 2017. "Optimal Discounting and Replenishment Policies for Perishable Products," International Journal of Production Economics, Elsevier, vol. 186(C), pages 8-20.
  • Handle: RePEc:eee:proeco:v:186:y:2017:i:c:p:8-20
    DOI: 10.1016/j.ijpe.2017.01.016
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    Cited by:

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    3. Han, Xiaoya & Liu, Xin, 2020. "Equilibrium decisions for multi-firms considering consumer quality preference," International Journal of Production Economics, Elsevier, vol. 227(C).
    4. Liu, Wenqian & Ke, Ginger Y. & Chen, Jian & Zhang, Lianmin, 2020. "Scheduling the distribution of blood products: A vendor-managed inventory routing approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    5. Chen, Zhixiang, 2018. "Optimization of production inventory with pricing and promotion effort for a single-vendor multi-buyer system of perishable products," International Journal of Production Economics, Elsevier, vol. 203(C), pages 333-349.
    6. Jaekwon Chung, 2019. "Effective Pricing of Perishables for a More Sustainable Retail Food Market," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    7. Chen, Zhixiang, 2019. "Reprint of “Optimization of production inventory with pricing and promotion effort for a single-vendor multi-buyer system of perishable products”," International Journal of Production Economics, Elsevier, vol. 209(C), pages 285-301.
    8. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.

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