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Coordination of fuzzy closed-loop supply chain with price dependent demand under symmetric and asymmetric information conditions

Author

Listed:
  • Jing Zhao

    (Tianjin Polytechnic University)

  • Jie Wei

    (Military Transportation University)

  • Xiaochen Sun

    (Tianjin University)

Abstract

This paper investigates the coordination issue of a two-echelon fuzzy closed-loop supply chain. Two coordinating models with symmetric and asymmetric information about retailer’s collecting scale parameter are established by using game theory, and the corresponding analytical solutions are obtained. Theoretical analysis and numerical example show that the maximal expected profits of the fuzzy closed-loop supply chain in two coordination situations are equal to that in the centralized decision case and greater than that in the decentralized decision scenario. Furthermore, under asymmetric information contract, the maximal expected profit obtained by the low-collecting-scale-level retailer is higher than that under symmetric information contract.

Suggested Citation

  • Jing Zhao & Jie Wei & Xiaochen Sun, 2017. "Coordination of fuzzy closed-loop supply chain with price dependent demand under symmetric and asymmetric information conditions," Annals of Operations Research, Springer, vol. 257(1), pages 469-489, October.
  • Handle: RePEc:spr:annopr:v:257:y:2017:i:1:d:10.1007_s10479-016-2123-6
    DOI: 10.1007/s10479-016-2123-6
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    References listed on IDEAS

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    Cited by:

    1. Ehsan Shekarian & Simme Douwe Flapper, 2021. "Analyzing the Structure of Closed-Loop Supply Chains: A Game Theory Perspective," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    2. 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.
    3. Suvadarshini, Pinakhi & Biswas, Indranil & Srivastava, Samir K., 2023. "Impact of reverse channel competition, individual rationality, and information asymmetry on multi-channel closed-loop supply chain design," International Journal of Production Economics, Elsevier, vol. 259(C).

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