• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. Blockchain-Based Traceability Architecture for Mapping Object-Related Supply Chain Events
 
  • Details
  • Full
Options
2023
Journal Article
Title

Blockchain-Based Traceability Architecture for Mapping Object-Related Supply Chain Events

Abstract
Supply chains have evolved into dynamic, interconnected supply networks, which increases the complexity of achieving end-to-end traceability of object flows and their experienced events. With its capability of ensuring a secure, transparent, and immutable environment without relying on a trusted third party, the emerging blockchain technology shows strong potential to enable end-to-end traceability in such complex multitiered supply networks. This paper aims to overcome the limitations of existing blockchain-based traceability architectures regarding their object-related event mapping ability, which involves mapping the creation and deletion of objects, their aggregation and disaggregation, transformation, and transaction, in one holistic architecture. Therefore, this paper proposes a novel ‘blueprint-based’ token concept, which allows clients to group tokens into different types, where tokens of the same type are non-fungible. Furthermore, blueprints can include minting conditions, which, for example, are necessary when mapping assembly processes. In addition, the token concept contains logic for reflecting all conducted object-related events in an integrated token history. Finally, for validation purposes, this article implements the architecture’s components in code and proves its applicability based on the Ethereum blockchain. As a result, the proposed blockchain-based traceability architecture covers all object-related supply chain events and proves its general-purpose end-to-end traceability capabilities of object flows.
Author(s)
Dietrich, Fabian
Louw, Louis
Palm, Daniel  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Journal
Sensors. Online journal  
Open Access
DOI
10.3390/s23031410
Additional link
Full text
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • blockchain

  • EPCIS events

  • object traceability

  • tokenisation

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024