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A disease transmission inspired closed-loop supply chain dynamic model for product collection

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  • Fu, Lingxian
  • Tang, Jie
  • Meng, Fanyong

Abstract

This paper studies the reverse channel in dynamic closed-loop supply chain (CLSC) system which consists of manufacturers and retailers. Based on the dynamic CLSC model, we research the decisions and profits of CLSC members in different reverse channels that consider the quantitative characteristic of products. The results show that the optimal collection decisions for the given quantitative characteristic of products are diverse in different development levels of CLSC. Furthermore, we propose a transfer payment coordination mechanism based on Nash bargaining model to address the objective inconsistency between CLSC and its members. Moreover, we carry out the case study using the statistical data of Chinese new energy vehicles (NEVs). We show the robustness of results through the sensitivity analysis and offer some suggestions for the government and NEV managers in China.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:transe:v:152:y:2021:i:c:s1366554521001319
    DOI: 10.1016/j.tre.2021.102363
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    Cited by:

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    2. Wang, Yong & Jiang, Qiong & Guan, Xu & Guan, Xiangyang, 2023. "Recycling channel design and coordination in a reverse supply chain with customer green preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    3. Mehrnaz Bathaee & Hamed Nozari & Agnieszka Szmelter-Jarosz, 2023. "Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty," Logistics, MDPI, vol. 7(1), pages 1-33, January.
    4. Georgia Fargetta & Laura R. M. Scrimali, 2023. "A sustainable dynamic closed-loop supply chain network equilibrium for collectibles markets," Computational Management Science, Springer, vol. 20(1), pages 1-30, December.
    5. Zhang, Ling & Zhang, Zheng, 2022. "Dynamic analysis of the decision of authorized remanufacturing supply chain affected by government subsidies under cap-and-trade policies," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    6. Zhou, Yongyi & Zhang, Yulin & Wahab, M.I.M. & Goh, Mark, 2023. "Channel leadership and performance for a closed-loop supply chain considering competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    7. Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr & Hamed Nozari, 2021. "A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19," JRFM, MDPI, vol. 14(11), pages 1-22, November.
    8. Liu, Chang-Yi & Wang, Hui & Tang, Juan & Chang, Ching-Ter & Liu, Zhi, 2021. "Optimal recovery model in a used batteries closed-loop supply chain considering uncertain residual capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).

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