IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10476-d1532854.html
   My bibliography  Save this article

Decision-Making in Remanufacturing Supply Chains: Game Theory Analysis of Recycling Models and Consumer Value Perception

Author

Listed:
  • Yingchun Cheng

    (School of Business, Jiangnan University, Wuxi 21400, China)

  • Jianhua Wang

    (School of Business, Jiangnan University, Wuxi 21400, China)

Abstract

In view of the uncertainty regarding consumers’ perceived value of remanufactured products, a remanufacturing supply chain system with the manufacturer as the Stackelberg leader is constructed, in which the manufacturer faces three modes, namely the manufacturer recycling mode (M), the retailer recycling mode (R), and the entrusted third-party recycling mode (3P). The remanufacturing supply chain is analyzed using the game theory approach in these three recycling modes. Using game theory to analyze the optimal pricing and profits of each supply chain participant, we also discuss the impact of consumers’ perceived value uncertainty on the profits of each party under the different recycling modes, and we then explore the selection of recycling channels in the remanufacturing supply chain. The results show that when the perceived value uncertainty is at a medium or low level, retailers are responsible for recycling used products and producing remanufactured products, which brings higher profits to the supply chain system; when the perceived value uncertainty is high, the demand for remanufactured products in the market decreases, and the recycling revenue of remanufactured products is lower. Finally, the validity of the theoretical model is verified by a numerical simulation.

Suggested Citation

  • Yingchun Cheng & Jianhua Wang, 2024. "Decision-Making in Remanufacturing Supply Chains: Game Theory Analysis of Recycling Models and Consumer Value Perception," Sustainability, MDPI, vol. 16(23), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10476-:d:1532854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10476/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10476/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Feng & Wang, Manman & Ang, Sheng, 2021. "Optimal remanufacturing decisions in supply chains considering consumers’ anticipated regret and power structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    2. Man Yu & Roman Kapuscinski & Hyun-Soo Ahn, 2015. "Advance Selling: Effects of Interdependent Consumer Valuations and Seller’s Capacity," Management Science, INFORMS, vol. 61(9), pages 2100-2117, September.
    3. Wei Li & Hang Wu & Liurui Deng, 2015. "Decision-Making Based on Consumers’ Perceived Value in Different Remanufacturing Modes," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-8, February.
    4. Deqing Ma & Jinsong Hu, 2020. "Research on Collaborative Management Strategies of Closed-Loop Supply Chain under the Influence of Big-Data Marketing and Reference Price Effect," Sustainability, MDPI, vol. 12(4), pages 1-23, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ying‐Ju Chen & Leon Yang Chu, 2020. "Synchronizing pricing and replenishment to serve forward‐looking customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 321-333, August.
    2. Zhang, Guoquan & Li, Guohao & Shang, Jennifer, 2023. "Optimizing mixed bundle pricing strategy: Advance selling and consumer regret," Omega, Elsevier, vol. 115(C).
    3. Zanon, Lucas Gabriel & Munhoz Arantes, Rafael Ferro & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2020. "A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value," International Journal of Production Economics, Elsevier, vol. 223(C).
    4. Oksana Loginova, 2021. "Advance selling, competition, and brand substitutability," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1765-1781, October.
    5. Elahi, Hamid & Pun, Hubert & Ghamat, Salar, 2023. "The Impact of Capacity Information on Supplier Encroachment," Omega, Elsevier, vol. 117(C).
    6. Sinha, Rajesh Kumar & Adhikari, Atanu, 2018. "Buyer-seller amount-price equilibrium for prepaid services: Implication for promotional pricing," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 285-292.
    7. Shi, Xiutian & Dong, Ciwei & Cheng, T.C.E., 2018. "Does the buy-online-and-pick-up-in-store strategy with pre-orders benefit a retailer with the consideration of returns?," International Journal of Production Economics, Elsevier, vol. 206(C), pages 134-145.
    8. Deqing Ma & Jinsong Hu & Weihao Wang, 2021. "Differential game of product–service supply chain considering consumers’ reference effect and supply chain members’ reciprocity altruism in the online-to-offline mode," Annals of Operations Research, Springer, vol. 304(1), pages 263-297, September.
    9. Yuqing Hu & Lijun Meng & Jingya Xue & Hongying Xia, 2023. "Authorization or Outsourcing: Considering the Contrast/Assimilation Effect and Network Externality of Remanufactured Products under Government Subsidy," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    10. Man Yu & Hyun-Soo Ahn & Roman Kapuscinski, 2015. "Rationing Capacity in Advance Selling to Signal Quality," Management Science, INFORMS, vol. 61(3), pages 560-577, March.
    11. Tony de Vassoigne & Przemek Sobocinski, 2023. "Gambler's motivations and regret: the case of online sports betting among 18-30-yearolds [Les motivations du parieur et le regret : le cas des paris sportifs en ligne chez les 18 - 30 ans]," Post-Print hal-04190274, HAL.
    12. Weihao Wang & Deqing Ma & Jinsong Hu, 2022. "Dynamic Carbon Reduction and Marketing Strategies with Consumers’ Environmental Awareness under Cap-and-Trade Regulation," Sustainability, MDPI, vol. 14(16), pages 1-31, August.
    13. Niu, Baozhuang & Xu, Haotao & Chen, Lei, 2022. "Creating all-win by blockchain in a remanufacturing supply chain with consumer risk-aversion and quality untrust," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    14. Yang, Xiying & Hua, Guowei & Cheng, T.C.E. & Zhang, Li & Zhang, Yi & Xu, Yadong, 2022. "Buy two and get X% off: Quantity discount under consumers’ anticipated regret," International Journal of Production Economics, Elsevier, vol. 250(C).
    15. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
    16. Mert Hakan Hekimoğlu & Burak Kazaz, 2020. "Analytics for Wine Futures: Realistic Prices," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2096-2120, September.
    17. Tianyi Guo & Chaonan Li & Yan Chen, 2022. "Remanufacturing Strategy under Cap-and-Trade Regulation in the Presence of Assimilation Effect," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    18. Kong, Junjun & Chua, Geoffrey A. & Yang, Feng, 2023. "Firms’ cooperation on recycling investments in a three-echelon reverse supply chain," International Journal of Production Economics, Elsevier, vol. 263(C).
    19. Lijun Meng & Qiang Qiang & Zuqing Huang & Baoyou Zhang & Yuxiang Yang, 2020. "Optimal Pricing Strategy and Government Consumption Subsidy Policy in Closed-Loop Supply Chain with Third-Party Remanufacturer," Sustainability, MDPI, vol. 12(6), pages 1-29, March.
    20. Wang, Manman & Yang, Feng & Shan, Feifei & Guo, Yu, 2024. "Blockchain adoption for combating remanufacturing perceived risks in a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10476-:d:1532854. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.