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Designing a reverse supply chain network with quality control for returned products: Strategies to mitigate free-riding effect and ensure compliance with technology licensing requirements

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  • Ebrahimi Bajgani, Sahar
  • Saberi, Sara
  • Toyasaki, Fuminori

Abstract

For agility and cost-effectiveness, remanufacturing was highlighted as a solution to a capacity shortage for ventilators during the Covid-19 pandemic. In post-pandemic times, recycling was introduced as a solution to raw material shortcomings. However, it is recognized that implementing these reverse logistics activities creates operational challenges, including quality control of returned ventilators and product information leakage of product information in the process of passing technical information from the original equipment manufacturer (OEM)s to the reverse logistic service provider. The proposed reverse supply chain network model includes competing collection centers, third party remanufacturers (remanufactures), and recyclers investigating the case of ventilator products in three pandemic scenarios: pre-pandemic, during the pandemic, and post-pandemic. The minimum acceptable quality for remanufacturing is determined. The model is then extended with technology acquisition settings to allow remanufacturers to receive OEM licenses for accessing technical needs. The possible leakage of technical information is then considered, along with incentivizing and penalizing strategies. We found that the penalizing strategy improves the technology acquisition level at the cost of reducing the overall profit, while the incentivizing strategy can maintain the profittextcolorblacks but does not markedly improve the technology acquisition level remarkably.

Suggested Citation

  • Ebrahimi Bajgani, Sahar & Saberi, Sara & Toyasaki, Fuminori, 2023. "Designing a reverse supply chain network with quality control for returned products: Strategies to mitigate free-riding effect and ensure compliance with technology licensing requirements," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    • Handle: RePEc:eee:tefoso:v:195:y:2023:i:c:s0040162523004298
    DOI: 10.1016/j.techfore.2023.122744
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    1. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza, 2022. "A game-theoretic approach for examining government support strategies and licensing contracts in an electricity supply chain with technology spillover: A case study of Iran," Energy, Elsevier, vol. 242(C).
    2. Anna Nagurney & Dong Li, 2015. "A supply chain network game theory model with product differentiation, outsourcing of production and distribution, and quality and price competition," Annals of Operations Research, Springer, vol. 226(1), pages 479-503, March.
    3. Zheng, Xiao-Xue & Liu, Zhi & Li, Kevin W. & Huang, Jun & Chen, Ji, 2019. "Cooperative game approaches to coordinating a three-echelon closed-loop supply chain with fairness concerns," International Journal of Production Economics, Elsevier, vol. 212(C), pages 92-110.
    4. Zaby, Alexandra K., 2009. "The propensity to patent in oligopolistic markets," Tübinger Diskussionsbeiträge 323, University of Tübingen, School of Business and Economics.
    5. Feng Yang & Chuanya Jiao & Sheng Ang, 2019. "The optimal technology licensing strategy under supply disruption," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2057-2082, April.
    6. Pietro De Giovanni & Georges Zaccour, 2022. "A selective survey of game-theoretic models of closed-loop supply chains," Annals of Operations Research, Springer, vol. 314(1), pages 77-116, July.
    7. Mohannad Radhi & Guoqing Zhang, 2016. "Optimal configuration of remanufacturing supply network with return quality decision," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1487-1502, March.
    8. Heger, Diana & Zaby, Alexandra K., 2009. "The propensity to patent with vertically differentiated products: An empirical investigation," Tübinger Diskussionsbeiträge 325, University of Tübingen, School of Business and Economics.
    9. Hong, Xianpei & Govindan, Kannan & Xu, Lei & Du, Peng, 2017. "Quantity and collection decisions in a closed-loop supply chain with technology licensing," European Journal of Operational Research, Elsevier, vol. 256(3), pages 820-829.
    10. Yanting Huang & Zongjun Wang, 2019. "Pricing and production decisions in a closed-loop supply chain considering strategic consumers and technology licensing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2847-2866, May.
    11. Yue Tan & Chunxiang Guo, 2019. "Research on Two-Way Logistics Operation with Uncertain Recycling Quality in Government Multi-Policy Environment," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    12. Tosarkani, Babak Mohamadpour & Amin, Saman Hassanzadeh & Zolfagharinia, Hossein, 2020. "A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network," International Journal of Production Economics, Elsevier, vol. 224(C).
    13. Jie Ning & Volodymyr Babich, 2018. "R&D Investments in the Presence of Knowledge Spillover and Debt Financing: Can Risk Shifting Cure Free Riding?," Manufacturing & Service Operations Management, INFORMS, vol. 20(1), pages 97-112, February.
    14. Nima Kazemi & Nikunja Mohan Modak & Kannan Govindan, 2019. "A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4937-4960, August.
    15. Qiang, Qiang & Ke, Ke & Anderson, Trisha & Dong, June, 2013. "The closed-loop supply chain network with competition, distribution channel investment, and uncertainties," Omega, Elsevier, vol. 41(2), pages 186-194.
    16. Yang, Guang-fen & Wang, Zhi-ping & Li, Xiao-qiang, 2009. "The optimization of the closed-loop supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 16-28, January.
    17. Yuan, Yanhong & Yang, Jinyao & Li, Yang & Li, Wei, 2020. "Necessary conditions for coordination of dual-channel closed-loop supply chain," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    18. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    19. Toyasaki, Fuminori & Daniele, Patrizia & Wakolbinger, Tina, 2014. "A variational inequality formulation of equilibrium models for end-of-life products with nonlinear constraints," European Journal of Operational Research, Elsevier, vol. 236(1), pages 340-350.
    20. Yang, Yong-cong & Nie, Pu-yan, 2022. "Subsidy for clean innovation considered technological spillover," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    21. Jeihoonian, Mohammad & Kazemi Zanjani, Masoumeh & Gendreau, Michel, 2017. "Closed-loop supply chain network design under uncertain quality status: Case of durable products," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 470-486.
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