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Dynamic pricing in a trade‐in program with replacement and new customers

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  • Yongbo Xiao
  • Liming Wang
  • Jian Chen

Abstract

Trade‐in programs have been widely adopted to enhance repeat purchase from replacement customers. Considering that a market consists of replacement and new segments, we study the joint and dynamic decisions on the selling price of new product (hereafter, “selling price”) and the trade‐in price involved in the program. By adopting a vertical product differentiation choice model, we investigate two scenarios in this paper. In the base model, the manufacturer has sufficiently large production capacity to fulfill the customer demand. We characterize the structural properties of the joint pricing decisions and compare them with the optimal pricing policy under regular selling. We further propose a semi‐dynamic trade‐in program, under which the new product is sold at a fixed price and the trade‐in price can be adjusted dynamically. Numerical experiments are conducted to evaluate the performance of the dynamic and semi‐dynamic trade‐in programs. In an extended model, we consider the scenario in which the manufacturer stocks a batch of new products in the beginning of the selling horizon and the inventory cannot be replenished. Following a revenue management framework, we characterize the structural properties with respect to time period and inventory level of new products.

Suggested Citation

  • Yongbo Xiao & Liming Wang & Jian Chen, 2020. "Dynamic pricing in a trade‐in program with replacement and new customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 334-352, August.
    • Handle: RePEc:wly:navres:v:67:y:2020:i:5:p:334-352
    DOI: 10.1002/nav.21911
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    Cited by:

    1. Hu, Shu & Zhu, Stuart X. & Fu, Ke, 2023. "Optimal trade-in and refurbishment strategies for durable goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 133-151.
    2. Hu, Shu & Tang, Yanli, 2024. "Impact of product sharing and heterogeneous consumers on manufacturers offering trade-in programs," Omega, Elsevier, vol. 122(C).
    3. Cao, Kaiying & Su, Yunyi & Han, Guoxin & Choi, Tsan-Ming, 2022. "Is it wise to offer rebates for unused extended warranties under trade-in programs in supply chains?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    4. Quan, Yuting & Hong, Jiangtao & Song, Jingpu & Leng, Mingming, 2021. "Game-theoretic analysis of trade-in services in closed-loop supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    5. Fu, Lingxian & Tang, Jie & Meng, Fanyong, 2021. "A disease transmission inspired closed-loop supply chain dynamic model for product collection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    6. Li, Yongjian & Wang, Kun & Xu, Fangchao & Fan, Chunxing, 2022. "Management of trade-in modes by recycling platforms based on consumer heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    7. Xu, Yuqiu & Wang, Jia & Cao, Kaiying, 2024. "Dynamic joint strategy of channel encroachment and logistics choice considering trade-in service and strategic consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).

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