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.
Author of HS Reutlingen | Dietrich, Fabian; Palm, Daniel |
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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): | Creative Commons - CC BY - Namensnennung 4.0 International |