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A Simple Protocol for Mapping the Plant Root System Architecture Traits
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Blockchain-Based Traceability Architecture for Mapping Object-Related Supply Chain Events.

Fabian Dietrich1,2, Louis Louw1, Daniel Palm2,3

  • 1Department of Industrial Engineering, Stellenbosch University, 145 Banghoek Rd., Stellenbosch 7600, South Africa.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel blockchain-based traceability system using a blueprint-based token concept for complex supply networks. It enhances object-related event mapping, ensuring end-to-end traceability in dynamic supply chains.

Keywords:
EPCIS eventsblockchainobject traceabilitytokenisation

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Area of Science:

  • Supply Chain Management
  • Information Systems
  • Computer Science

Background:

  • Modern supply chains are complex, interconnected networks, making end-to-end traceability challenging.
  • Existing blockchain solutions struggle with comprehensive mapping of object-related events in supply networks.

Purpose of the Study:

  • To propose a novel blockchain architecture for end-to-end supply chain traceability.
  • To address limitations in mapping object creation, deletion, aggregation, transformation, and transaction events.

Main Methods:

  • Introduction of a 'blueprint-based' token concept for grouping non-fungible tokens.
  • Incorporation of minting conditions within blueprints for processes like assembly.
  • Development of integrated token history logic to reflect all object-related events.

Main Results:

  • The proposed architecture successfully maps all object-related supply chain events.
  • Implementation on the Ethereum blockchain validates the system's applicability.
  • Demonstrated general-purpose end-to-end traceability for object flows.

Conclusions:

  • The blueprint-based token concept provides a holistic solution for blockchain-based supply chain traceability.
  • This architecture enhances transparency and security in complex, multitiered supply networks.
  • The system offers robust capabilities for tracking object flows and associated events.