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This study introduces a blockchain model for tracking assets across supply chains. The model enhances interoperability and cryptographic verification for pharmaceutical logistics.

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Area of Science:

  • Supply Chain Management
  • Blockchain Technology
  • Information Systems

Background:

  • Blockchain technology offers immutable audit trails for supply chains.
  • Tracking assets across diverse blockchain systems presents a significant challenge.
  • Existing models often require data replication across platforms.

Purpose of the Study:

  • To propose a novel model for tracking assets across different blockchain-based supply chain systems.
  • To enhance interoperability and cryptographic verification in multi-blockchain environments.
  • To standardize asset definition and description formats within supply chains.

Main Methods:

  • Development of a new model for cross-blockchain asset tracking.
  • Implementation of cryptographic verification for supply chain integrity.
  • Definition and application of standardized formats for asset representation.
  • Operational analysis within the pharmaceutical sector.

Main Results:

  • The proposed model enables seamless asset tracking across multiple blockchain platforms.
  • It ensures cryptographic verification of the entire supply chain.
  • Standardized formats improve data consistency and interoperability.
  • The model offers flexibility and scalability for logistic platforms.

Conclusions:

  • The developed model significantly improves interoperability between blockchain-driven supply chains.
  • It addresses key challenges in cross-system asset tracking.
  • The model is particularly beneficial for sectors like pharmaceuticals, enhancing operational efficiency and security.