Back to Search Start Over

Demonstration of a blockchain-based framework using smart contracts for supply chain collaboration.

Authors :
Agrawal, Tarun Kumar
Angelis, Jannis
Khilji, Wajid Ali
Kalaiarasan, Ravi
Wiktorsson, Magnus
Source :
International Journal of Production Research; Mar2023, Vol. 61 Issue 5, p1497-1516, 20p, 8 Diagrams, 2 Charts
Publication Year :
2023

Abstract

Blockchain technologies can support traceability, transparency and trust among participants. This has primarily been explored in established supply chains and not in the growing use of business networks or ecosystems, which is a notable limitation since supply chains typically are organised with a dominant actor that ensures common information systems and standards that negate blockchain benefits. Hence, this study explores the design of a blockchain-based collaborative framework for resource sharing using smart contracts. These are particularly well-suited for supporting operations in broader networks or ecosystems beyond supply chains with established collaborations and hierarchies. Based on a systematic literature review, a demonstrator framework was developed for stakeholder interactions through a procurement and distribution unit backed with blockchain technology. The framework consists of (a) network architecture to demonstrate partner interactions; (b) rules for network working principles based on supply collaboration requirements; (c) UML diagram to define smart contract interaction sequence; and (d) algorithm for smart contract network verification and validation. Applicability of these smart contracts was verified by deployment on an Ethereum blockchain. The demonstrator framework ensures quality and data authenticity in supply networks, so it is useful for effective resource utilisation in networks where outsourcing and production surpluses are major issues. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207543
Volume :
61
Issue :
5
Database :
Complementary Index
Journal :
International Journal of Production Research
Publication Type :
Academic Journal
Accession number :
162294983
Full Text :
https://doi.org/10.1080/00207543.2022.2039413