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June 20, 2026Discover AnalyticsOpen Access

Blockchain enabled real time supply chain optimization bridging financial markets and operational efficiency

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Authors

MKMeisam KaramiHBHamid Bouraghi

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Overview

Randomized trial integrates machine learning and blockchain to enhance supply chain efficiency, suggesting improved sustainability.

Key Points

  • This research aims to develop an integrated framework that combines machine learning, optimization, and blockchain for enhancing supply chain performance and sustainability.
  • Developed a framework incorporating machine learning prediction using a Random Forest algorithm.
  • Employed multi-objective optimization based on Linear Programming to minimize costs and carbon emissions.
  • Incorporated a blockchain transaction layer for enhanced transparency and data integrity.
  • Achieved strong predictive performance with R^2 = 0.893 and RMSE = 0.503.
  • Demonstrated a measurable trade-off between cost efficiency and carbon emissions in supplier-buyer allocations.

Cite This Study

Karami et al. (2026) studied this question.

synapsesocial.com/papers/6a362fbcdb0793dc1a537278https://doi.org/10.1007/s44257-026-00075-4
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Also Consider

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