IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11307-d1198487.html
   My bibliography  Save this article

A Simulation-Based Study on the Optimal Pricing Strategy of Supply Chain System

Author

Listed:
  • Yuxian Li

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
    Department of Business and Trade, Qinhuangdao Vocational and Technical College, Qinhuangdao 066100, China)

  • Jiuhe Wang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

Abstract

In this paper, the utility function model is applied to study the pricing strategy and order/production strategy of a two-echelon supply chain. Through local point-to-point communication between multi-agents and considering the random communication delay of the system, the utility function is maximized based on the consistency theory, and the optimal price and order quantity are determined. The proposed algorithm is distributed and collaborative, which avoids the centralized demand for all node information and the drawbacks of system paralysis caused by node failure. In addition, we carried out a numerical simulation to verify the theoretical results and demonstrate the effectiveness of the multi-agent consensus theory in the stable operation of supply and demand within a supply chain when there is a random communication delay and the sudden failure of a supply chain enterprise. It further explains how the coefficient of consumer sensitivity to price affects pricing and order/production strategies.

Suggested Citation

  • Yuxian Li & Jiuhe Wang, 2023. "A Simulation-Based Study on the Optimal Pricing Strategy of Supply Chain System," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11307-:d:1198487
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11307/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/14/11307/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiao, Tiaojun & (Junmin) Shi, Jim, 2016. "Pricing and supply priority in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 254(3), pages 813-823.
    2. R. Canan Savaskan & Shantanu Bhattacharya & Luk N. Van Wassenhove, 2004. "Closed-Loop Supply Chain Models with Product Remanufacturing," Management Science, INFORMS, vol. 50(2), pages 239-252, February.
    3. Tianqin Shi & Dilip Chhajed & Zhixi Wan & Yunchuan Liu, 2020. "Distribution Channel Choice and Divisional Conflict in Remanufacturing Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1702-1719, July.
    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. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    2. Haitao Chen & Zhaohui Dong & Gendao Li, 2020. "Government Reward-Penalty Mechanism in Dual-Channel Closed-Loop Supply Chain," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    3. Niu, Baozhuang & Ruan, Yiyuan & Zeng, Fanzhuo, 2022. "Promoting remanufacturing through subsidy and environment tax: Channel co-opetition, incentive alignment and regulation optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    4. Zhou, Qin & Meng, Chao & Yuen, Kum Fai & Sheu, Jiuh-Biing, 2021. "Remanufacturing authorization strategy for an original equipment manufacturer-contract manufacturer supply chain: Cooperation or competition?," International Journal of Production Economics, Elsevier, vol. 240(C).
    5. Zhou, Qin & Meng, Chao & Sheu, Jiuh-Biing & Yuen, Kum Fai, 2023. "Remanufacturing mode and strategic decision: A game-theoretic approach," International Journal of Production Economics, Elsevier, vol. 260(C).
    6. Qiao, Haike & Su, Qin, 2021. "Distribution channel and licensing strategy choice considering consumer online reviews in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    7. Syed Asif Raza, 2022. "A bibliometric analysis of pricing models in supply chain," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 228-251, April.
    8. Raza, Syed Asif & Govindaluri, Srikrishna Madhumohan, 2019. "Pricing strategies in a dual-channel green supply chain with cannibalization and risk aversion," Operations Research Perspectives, Elsevier, vol. 6(C).
    9. Lin Zhao & Zongyu Mu, 2021. "Channel Strategies for the Two-Period Closed-Loop Supply Chain with E-Commerce," Mathematics, MDPI, vol. 9(11), pages 1-33, June.
    10. Gan, Shu-San & Pujawan, I. Nyoman & Suparno, & Widodo, Basuki, 2017. "Pricing decision for new and remanufactured product in a closed-loop supply chain with separate sales-channel," International Journal of Production Economics, Elsevier, vol. 190(C), pages 120-132.
    11. Xiaoyan Wang & Minggao Xue & Lu Xing, 2018. "Analysis of Carbon Emission Reduction in a Dual-Channel Supply Chain with Cap-And-Trade Regulation and Low-Carbon Preference," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
    12. Zhou, Qin & Meng, Chao & Yuen, Kum Fai, 2021. "Remanufacturing authorization strategy for competition among OEM, authorized remanufacturer, and unauthorized remanufacturer," International Journal of Production Economics, Elsevier, vol. 242(C).
    13. Luo, Li & Shan, Renbang & Xiang, Jie, 2024. "The government intervention effectiveness in promoting remanufacturing: Subsidy or remanufacturing target?," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    14. Housheng Duan & Jiayan Xu, 2023. "Remanufacturing and Product Recovery Strategies Considering Chain-to-Chain Competition and Power Structures," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    15. Umangi Pathak & Ravi Kant & Ravi Shankar, 2020. "Effect of buyback price on channel’s decision parameters for manufacturer-led close loop dual supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 438-461, June.
    16. Matsui, Kenji, 2020. "Optimal bargaining timing of a wholesale price for a manufacturer with a retailer in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 287(1), pages 225-236.
    17. Assarzadegan, Parisa & Rasti-Barzoki, Morteza, 2020. "A game theoretic approach for pricing under a return policy and a money back guarantee in a closed loop supply chain," International Journal of Production Economics, Elsevier, vol. 222(C).
    18. Deng Li & Ying Peng & Chunxiang Guo & Ruwen Tan, 2019. "Pricing Strategy of Construction and Demolition Waste Considering Retailer Fairness Concerns under a Governmental Regulation Environment," IJERPH, MDPI, vol. 16(20), pages 1-24, October.
    19. 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).
    20. Qingyuan Zhu & Chenghao Yu & Zhiyang SHEN & Malin Song, 2023. "Competition between a manufacturer and a relicensing third party when customers are strategic," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2021-2040, June.

    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:15:y:2023:i:14:p:11307-:d:1198487. 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.