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Blockchain-Secured Digital Twin Framework for Fuzzy Multi-Objective Optimization in Supply Chain Finance

Author

Listed:
  • Hamed Nozari

    (Institute of Economics and Politics, University of National and World Economy, 1700 Sofia, Bulgaria)

  • Zornitsa Yordanova

    (Industrial Business Department, Business Faculty, University of National and World Economy, 1700 Sofia, Bulgaria)

Abstract

This research presents an integrated framework for supply chain finance in which digital twin, blockchain, and multi-objective fuzzy optimization are used in synergy to improve financial decision-making in dynamic and uncertain environments. In this framework, the digital twin acts as a real-time monitoring and forecasting layer, blockchain acts as a trust and transparency infrastructure, and the optimization model acts as the decision-making core. To evaluate the proposed framework, a scenario-based mathematical model was developed and analyzed using a combination of real-world and simulated data. The results showed that the proposed framework was able to reduce the total cost by 18.6% and increase the return on investment to 12.4%. Also, the use of the digital twin framework significantly reduced financial risks and delays, while the integration of blockchain improved the transparency, traceability, and reliability of transactions and reduced operational errors. Overall, the findings show that this framework has high potential for developing smart, transparent, and resilient financial systems in the supply chain context.

Suggested Citation

  • Hamed Nozari & Zornitsa Yordanova, 2026. "Blockchain-Secured Digital Twin Framework for Fuzzy Multi-Objective Optimization in Supply Chain Finance," FinTech, MDPI, vol. 5(2), pages 1-26, May.
    • Handle: RePEc:gam:jfinte:v:5:y:2026:i:2:p:42-:d:1939537
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