Blockchain-Based Supply Chain Systems, Interoperability Model in a Pharmaceutical Case Study.

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.