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Fuzzy robust optimization for a dual-channel supply chain with blockchain adoption under consumer perception and demand uncertainties

Author

Listed:
  • Mingli Yuan

    (Northeastern University)

  • Ruozhen Qiu

    (Northeastern University
    Northeastern University)

  • Minghe Sun

    (The University of Texas at San Antonio)

  • Zhi-Ping Fan

    (Northeastern University
    Northeastern University)

Abstract

A dual-channel supply chain with a supplier and a retailer is considered under customer product information perception uncertainty in the online channel and market demand uncertainty. The supplier may adopt blockchain in the online channel to ensure information transparency and enhance product traceability. Fuzzy robust optimization is used to deal with market demand uncertainty. The demand functions of the online and offline channels are set up. Stackelberg game models are formulated to analyze the problem, and backward induction is used to obtain robust equilibrium solutions. The impacts of the parameters on the equilibrium prices, demands, and profits of the supply chain and its members are analyzed. The theoretical results are verified through numerical experiments and corresponding managerial insights and suggestions are provided. The results show that blockchain adoption generally benefits the supplier, but not necessarily the retailer, by increasing product information transparency. Blockchain adoption may increase the supplier’s profit under strict conditions but may negatively impact the supply chain and its members under improper conditions. The prevalent supply chain contracts are explored to coordinate the dual-channel supply chain with blockchain adoption. The results show that the profit-sharing contract can, but the two-part tariff and the revenue-sharing contracts cannot, coordinate the dual-channel supply chain with blockchain adoption in the online channel.

Suggested Citation

  • Mingli Yuan & Ruozhen Qiu & Minghe Sun & Zhi-Ping Fan, 2025. "Fuzzy robust optimization for a dual-channel supply chain with blockchain adoption under consumer perception and demand uncertainties," Fuzzy Optimization and Decision Making, Springer, vol. 24(2), pages 155-196, June.
    • Handle: RePEc:spr:fuzodm:v:24:y:2025:i:2:d:10.1007_s10700-025-09442-4
    DOI: 10.1007/s10700-025-09442-4
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    References listed on IDEAS

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    1. Ahmed Farouk Hamzaoui & Sadok Turki & Nidhal Rezg, 2024. "Unified strategy of production, distribution and pricing in a dual-channel supply chain using leasing option," International Journal of Production Research, Taylor & Francis Journals, vol. 62(19), pages 7167-7185, October.
    2. Liu, Yang & Lu, Jizhou & Yan, Nina, 2024. "Agency or reselling? Supplier’s online channel strategies with platform financing," European Journal of Operational Research, Elsevier, vol. 318(3), pages 1014-1027.
    3. Yao Cui & Ming Hu & Jingchen Liu, 2023. "Value and Design of Traceability-Driven Blockchains," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 1099-1116, May.
    4. Ghoudi, Kilani & Hamdouch, Younes & Boulaksil, Youssef & Hamdan, Sadeque, 2024. "Supply chain coordination in a dual sourcing system under the Tailored Base-Surge policy," European Journal of Operational Research, Elsevier, vol. 317(2), pages 533-549.
    5. Zhang, Qian & Li, Yongjian & Hou, Pengwen & Wang, Jun, 2024. "Price signal or blockchain technology? Quality information disclosure in dual-channel supply chains," European Journal of Operational Research, Elsevier, vol. 316(1), pages 126-137.
    6. Zhao, Qingli & Fan, Zhi-Ping & Sun, Minghe, 2024. "Sales mode selection and blockchain technology adoption decisions in a platform supply chain," International Journal of Production Economics, Elsevier, vol. 272(C).
    7. Qiu, Ruozhen & Sun, Yue & Zhou, Hongcheng & Sun, Minghe, 2023. "Dynamic pricing and quick response of a retailer in the presence of strategic consumers: A distributionally robust optimization approach," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1270-1298.
    8. Bian, Wenliang & Shang, Jennifer & Zhang, Juliang, 2016. "Two-way information sharing under supply chain competition," International Journal of Production Economics, Elsevier, vol. 178(C), pages 82-94.
    9. Zandieh, Fatemeh & Ghannadpour, Seyed Farid, 2023. "A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem," European Journal of Operational Research, Elsevier, vol. 305(2), pages 685-707.
    10. Naiqi Liu & Wansheng Tang & Yanfei Lan & Huili Pei, 2024. "Pricing and carbon reduction decisions for a new uncertain dual-channel supply chain under cap-and-trade regulation," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 415-448, September.
    11. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    12. Dongwook Shin & Assaf Zeevi, 2024. "Product Quality and Information Sharing in the Presence of Reviews," Management Science, INFORMS, vol. 70(3), pages 1428-1447, March.
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