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Optimal remanufacturing strategies in name-your-own-price auctions with limited capacity

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  • Wang, Qifei
  • Li, Jianbin
  • Yan, Hong
  • Zhu, Stuart X.

Abstract

We study optimal pricing and production strategies faced by a manufacturer in a remanufacturing/manufacturing system. In the reverse channel, returns are collected under a name-your-own-price (NYOP) bidding mechanism. The manufacturer has a limited capacity to produce new and remanufactured products. We characterize the optimal decisions of the consumers and the manufacturer. We find that under the NYOP mechanism, the manufacturer׳s optimal strategies mainly depend on the bidding cost, the cost saving of remanufacturing, the production capacity, and the market scale. In addition, when remanufacturing needs more capacity than manufacturing , the manufacturer may adopt pure manufacturing strategy without remanufacturing. We also compare this mechanism with the traditional list-price mechanism and find that the manufacturer prefers the NYOP mechanism under the conditions of a low reverse market share, a high manufacturing cost, a sufficient capacity, or a low capacity requirement of remanufacturing. Numerical studies investigate the effect of key parameters on the manufacturer׳s profit and some managerial insights are obtained.

Suggested Citation

  • Wang, Qifei & Li, Jianbin & Yan, Hong & Zhu, Stuart X., 2016. "Optimal remanufacturing strategies in name-your-own-price auctions with limited capacity," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 113-129.
    • Handle: RePEc:eee:proeco:v:181:y:2016:i:pa:p:113-129
    DOI: 10.1016/j.ijpe.2016.01.008
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    References listed on IDEAS

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    Cited by:

    1. Wang, Qifei & Hong, Xianpei & Gong, Yeming (Yale) & Chen, Wanying (Amanda), 2020. "Collusion or Not: The optimal choice of competing retailers in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 225(C).
    2. Nosoohi, Iman, 2022. "Posted price and name-your-own-price in a product line design problem," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    3. Mao, Zhaofang & Liu, Wei & Feng, Bo, 2019. "Opaque distribution channels for service providers with asymmetric capacities: Posted-price mechanisms," International Journal of Production Economics, Elsevier, vol. 215(C), pages 112-120.
    4. Qingguo Bai & Jianteng Xu & Yuzhong Zhang, 2022. "The distributionally robust optimization model for a remanufacturing system under cap-and-trade policy: a newsvendor approach," Annals of Operations Research, Springer, vol. 309(2), pages 731-760, February.
    5. Guo, Xiaolong & Bian, Junsong & Wu, Peiyan & Shi, Victor & Chen, Huangen, 2023. "Probabilistic product design with regret-anticipated consumers," International Journal of Production Economics, Elsevier, vol. 263(C).

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