Volltext-Downloads (blau) und Frontdoor-Views (grau)

Blockchain-based traceability architecture for mapping object-related supply chain events

  • 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.

Download full text files

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author of HS ReutlingenDietrich, Fabian; Palm, Daniel
URN:urn:nbn:de:bsz:rt2-opus4-41024
DOI:https://doi.org/10.3390/s23031410
ISSN:1424-8220
Erschienen in:Sensors
Publisher:MDPI
Place of publication:Basel
Document Type:Journal article
Language:English
Publication year:2023
Tag:EPCIS events; blockchain; object traceability; tokenisation
Volume:23
Issue:3
Page Number:29
First Page:1
Last Page:29
Article Number:1410
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International