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Pricing Decisions For A Closed-Loop Supply Chain In A Fuzzy Environment

Author

Listed:
  • JIE WEI

    (General Courses Department, Military Transportation University, Tianjin 300161, China)

  • JING ZHAO

    (School of Science, Tianjin Polytechnic University, Tianjin 300160, China)

  • YONGJIAN LI

    (Business School, Nankai University, Tianjin 300071, China)

Abstract

This paper studies pricing problem for a closed-loop supply chain consisting of a manufacturer and a retailer in a fuzzy environment. The purpose of this paper is to explore how the manufacturer makes his decisions about wholesale price and transfer price and how the retailer makes her decisions about retail price and collecting price in the expected value standard. Each firm's optimal pricing strategies are established by using game theory under the centralized and decentralized decision cases, respectively. Managerial insights into the economic behavior of firms are also investigated, which can serve as the basis for empirical study in the future. Moreover, we analyze numerically the results and give some insights on the influence of some parameters.

Suggested Citation

  • Jie Wei & Jing Zhao & Yongjian Li, 2012. "Pricing Decisions For A Closed-Loop Supply Chain In A Fuzzy Environment," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 29(01), pages 1-30.
  • Handle: RePEc:wsi:apjorx:v:29:y:2012:i:01:n:s0217595912400039
    DOI: 10.1142/S0217595912400039
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    Citations

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    Cited by:

    1. 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.
    2. Hua Ke & Yong Wu & Hu Huang, 2018. "Competitive Pricing and Remanufacturing Problem in an Uncertain Closed-Loop Supply Chain with Risk-Sensitive Retailers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(01), pages 1-21, February.
    3. Liu, Wenjie & Liu, Wei & Shen, Ningning & Xu, Zhitao & Xie, Naiming & Chen, Jian & Zhou, Huiyu, 2022. "Pricing and collection decisions of a closed-loop supply chain with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 245(C).
    4. 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.
    5. Yong Liu & Wenwen Ren & Qian Xu & Zhi-yang Liu, 2022. "Decision analysis of supply chains considering corporate social responsibility and government subsidy under different channel power structures," Annals of Operations Research, Springer, vol. 315(2), pages 1841-1869, August.
    6. Mohammad Fathian & Javid Jouzdani & Mehdi Heydari & Ahmad Makui, 2018. "Location and transportation planning in supply chains under uncertainty and congestion by using an improved electromagnetism-like algorithm," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1447-1464, October.

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