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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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    1. William P. Pierskalla & Chris D. Roach, 1972. "Optimal Issuing Policies for Perishable Inventory," Management Science, INFORMS, vol. 18(11), pages 603-614, July.
    2. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    3. Avinadav, Tal & Herbon, Avi & Spiegel, Uriel, 2013. "Optimal inventory policy for a perishable item with demand function sensitive to price and time," International Journal of Production Economics, Elsevier, vol. 144(2), pages 497-506.
    4. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    5. Chew, Ek Peng & Lee, Chulung & Liu, Rujing & Hong, Ki-sung & Zhang, Anming, 2014. "Optimal dynamic pricing and ordering decisions for perishable products," International Journal of Production Economics, Elsevier, vol. 157(C), pages 39-48.
    6. Haijema, Rene, 2014. "Optimal ordering, issuance and disposal policies for inventory management of perishable products," International Journal of Production Economics, Elsevier, vol. 157(C), pages 158-169.
    7. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    8. Xin Chen & David Simchi-Levi, 2004. "Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Infinite Horizon Case," Mathematics of Operations Research, INFORMS, vol. 29(3), pages 698-723, August.
    9. Steven Nahmias, 1975. "Optimal Ordering Policies for Perishable Inventory—II," Operations Research, INFORMS, vol. 23(4), pages 735-749, August.
    10. Rajiv Lal & Ram Rao, 1997. "Supermarket Competition: The Case of Every Day Low Pricing," Marketing Science, INFORMS, vol. 16(1), pages 60-80.
    11. Yanzhi Li & Andrew Lim & Brian Rodrigues, 2009. "Note--Pricing and Inventory Control for a Perishable Product," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 538-542, February.
    12. Awi Federgruen & Aliza Heching, 1999. "Combined Pricing and Inventory Control Under Uncertainty," Operations Research, INFORMS, vol. 47(3), pages 454-475, June.
    13. E. Zabel, 1970. "Monopoly and Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 37(2), pages 205-219.
    14. Arvind Rajan & Richard Rakesh, 1992. "Dynamic Pricing and Ordering Decisions by a Monopolist," Management Science, INFORMS, vol. 38(2), pages 240-262, February.
    15. Herbon, Avi & Levner, Eugene & Cheng, T.C.E., 2014. "Perishable inventory management with dynamic pricing using time–temperature indicators linked to automatic detecting devices," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 605-613.
    16. Pauls-Worm, Karin G.J. & Hendrix, Eligius M.T. & Alcoba, Alejandro G. & Haijema, René, 2016. "Order quantities for perishable inventory control with non-stationary demand and a fill rate constraint," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 238-246.
    17. van Donselaar, K.H. & Peters, J. & de Jong, A. & Broekmeulen, R.A.C.M., 2016. "Analysis and forecasting of demand during promotions for perishable items," International Journal of Production Economics, Elsevier, vol. 172(C), pages 65-75.
    18. Chen, Tsung-Hui, 2017. "Optimizing pricing, replenishment and rework decision for imperfect and deteriorating items in a manufacturer-retailer channel," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 539-550.
    19. Xiaowei Xu & Wallace J. Hopp, 2006. "A Monopolistic and Oligopolistic Stochastic Flow Revenue Management Model," Operations Research, INFORMS, vol. 54(6), pages 1098-1109, December.
    20. Feng, Lin & Chan, Ya-Lan & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Pricing and lot-sizing polices for perishable goods when the demand depends on selling price, displayed stocks, and expiration date," International Journal of Production Economics, Elsevier, vol. 185(C), pages 11-20.
    21. Xin Chen & David Simchi-Levi, 2004. "Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case," Operations Research, INFORMS, vol. 52(6), pages 887-896, December.
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    Cited by:

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    3. Jaekwon Chung, 2019. "Effective Pricing of Perishables for a More Sustainable Retail Food Market," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    4. 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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    7. Han, Xiaoya & Liu, Xin, 2020. "Equilibrium decisions for multi-firms considering consumer quality preference," International Journal of Production Economics, Elsevier, vol. 227(C).
    8. 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.
    9. 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.

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