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Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand

Author

Listed:
  • Nan Yang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

  • Renyu Zhang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

We analyze a finite horizon periodic review joint pricing and inventory management model for a firm that replenishes and sells a product under the scarcity effect of inventory. The demand distribution in each period depends negatively on the sales price and customer-accessible inventory level at the beginning of the period. The firm can withhold or dispose of its on-hand inventory to deal with the scarcity effect. We show that a customer-accessible-inventory-dependent order-up-to/dispose-down-to/display-up-to list-price policy is optimal. Moreover, the optimal order-up-to/display-up-to and list-price levels are decreasing in the customer-accessible inventory level. When the scarcity effect of inventory is sufficiently strong, the firm should display no positive inventory and deliberately make every customer wait. The analysis of two important special cases wherein the firm cannot withhold (or dispose of) inventory delivers sharper insights showing that the inventory-dependent demand drives both optimal prices and order-up-to levels down. In addition, we demonstrate that an increase in the operational flexibility (e.g., a higher salvage value or the inventory withholding opportunity) mitigates the demand loss caused by high excess inventory and increases the optimal order-up-to levels and sales prices. We also generalize our model by incorporating responsive inventory reallocation after demand realizes. Finally, we perform extensive numerical studies to demonstrate that both the profit loss of ignoring the scarcity effect and the value of dynamic pricing under the scarcity effect are significant.

Suggested Citation

  • Nan Yang & Renyu Zhang, 2014. "Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand," Operations Research, INFORMS, vol. 62(5), pages 1077-1094, October.
  • Handle: RePEc:inm:oropre:v:62:y:2014:i:5:p:1077-1094
    DOI: 10.1287/opre.2014.1306
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    References listed on IDEAS

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    3. Nan Yang & Renyu Zhang, 2022. "Dynamic pricing and inventory management in the presence of online reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3180-3197, August.
    4. Ling Zhao & Jun Liu & Minghua Xiong & Anquan Zou, 2022. "Dual-Channel Retailer’s Multi-Period Inventory and Pricing Policy with the Quantity-Sales Mode," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    5. Xiangyu Gao & Stefanus Jasin & Sajjad Najafi & Huanan Zhang, 2022. "Joint Learning and Optimization for Multi-Product Pricing (and Ranking) Under a General Cascade Click Model," Management Science, INFORMS, vol. 68(10), pages 7362-7382, October.
    6. Amr Farahat & Joonkyum Lee, 2018. "The Multiproduct Newsvendor Problem with Customer Choice," Operations Research, INFORMS, vol. 66(1), pages 123-136, January.
    7. Jalali, Hamed & Carmen, Raïsa & Van Nieuwenhuyse, Inneke & Boute, Robert, 2019. "Quality and pricing decisions in production/inventory systems," European Journal of Operational Research, Elsevier, vol. 272(1), pages 195-206.
    8. Zhang, Mingyang & Zhang, Juliang & Cheng, T.C.E. & Hua, Guowei, 2018. "Why and how do branders sell new products on flash sale platforms?," European Journal of Operational Research, Elsevier, vol. 270(1), pages 337-351.
    9. Yuan Jiang & Xu Guan & Yao Tang & Simiao Chen, 2022. "Strategic stocking for new products to signal quality information," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 65-83, January.
    10. Li, Mengmeng & Mizuno, Shinji, 2022. "Dynamic pricing and inventory management of a dual-channel supply chain under different power structures," European Journal of Operational Research, Elsevier, vol. 303(1), pages 273-285.
    11. He, Qiao-Chu & Chen, Ying-Ju, 2018. "Dynamic pricing of electronic products with consumer reviews," Omega, Elsevier, vol. 80(C), pages 123-134.
    12. Ling Zhao & Anquan Zou & Pin Zhou, 2023. "E‐retailer's dynamic inventory and pricing policy with price‐protection services," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 490-501, January.
    13. Pourya Pourhejazy, 2020. "Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    14. Li, Mengmeng & Mizuno, Shinji, 2022. "Comparison of dynamic and static pricing strategies in a dual-channel supply chain with inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
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