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Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality

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  • Xiong, Yu
  • Li, Gendao
  • Zhou, Yu
  • Fernandes, Kiran
  • Harrison, Richard
  • Xiong, Zhongkai

Abstract

In this paper, we investigate the remanufacturing problem of pricing single-class used products (cores) in the face of random price-dependent returns and random demand. Specifically, we propose a dynamic pricing policy for the cores and then model the problem as a continuous-time Markov decision process. We first design a basic model that does not consider the quality uncertainty of cores, and then extend our model to incorporate this factor. Besides proving optimal policy uniqueness and establishing monotonicity results for the optimal policy, we also characterize the impact of system parameters on the optimal policies, which can provide simple managerial insights. Finally, we use computational experiments to assess the benefits of dynamic pricing compared to static pricing and identify the impacts of specific parameters on the relative merits of dynamic pricing policy.

Suggested Citation

  • Xiong, Yu & Li, Gendao & Zhou, Yu & Fernandes, Kiran & Harrison, Richard & Xiong, Zhongkai, 2014. "Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 678-688.
    • Handle: RePEc:eee:proeco:v:147:y:2014:i:pc:p:678-688
    DOI: 10.1016/j.ijpe.2013.04.025
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    7. Gönsch, Jochen, 2015. "A note on a model to evaluate acquisition price and quantity of used products for remanufacturing," International Journal of Production Economics, Elsevier, vol. 169(C), pages 277-284.
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    14. Li, Gendao & Reimann, Marc & Zhang, Weihua, 2018. "When remanufacturing meets product quality improvement: The impact of production cost," European Journal of Operational Research, Elsevier, vol. 271(3), pages 913-925.
    15. Gan, Shu San & Pujawan, I. Nyoman & Suparno, & Widodo, Basuki, 2015. "Pricing decision model for new and remanufactured short-life cycle products with time-dependent demand," Operations Research Perspectives, Elsevier, vol. 2(C), pages 1-12.
    16. Yu-Chung Tsao & Vu-Thuy Linh & Jye-Chyi Lu & Vincent Yu, 2018. "A supply chain network with product remanufacturing and carbon emission considerations: a two-phase design," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 693-705, March.
    17. Wenyuan Wang & Daniel Y. Mo & Yue Wang & Mitchell M. Tseng, 2019. "Assessing the cost structure of component reuse in a product family for remanufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 575-587, February.
    18. Chen, Daqiang & Ignatius, Joshua & Sun, Danzhi & Zhan, Shalei & Zhou, Chenyu & Marra, Marianna & Demirbag, Mehmet, 2019. "Reverse logistics pricing strategy for a green supply chain: A view of customers' environmental awareness," International Journal of Production Economics, Elsevier, vol. 217(C), pages 197-210.
    19. Zamanzad Gavidel, Saeed & Rickli, Jeremy L., 2019. "Normal to extreme Operation Transition Threshold analysis for remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 213(C), pages 46-54.
    20. Chang, Xiangyun & Xia, Haiyang & Zhu, Huiyun & Fan, Tijun & Zhao, Hongqing, 2015. "Production decisions in a hybrid manufacturing–remanufacturing system with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 162(C), pages 160-173.
    21. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
    22. Gu, Wenjun & Chhajed, Dilip & Petruzzi, Nicholas C. & Yalabik, Baris, 2015. "Quality design and environmental implications of green consumerism in remanufacturing," International Journal of Production Economics, Elsevier, vol. 162(C), pages 55-69.

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