An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory

Davis, William, Yaqoob, Mahnoor, Bennett, Luke, Mihai, Stefan, Hung, Dang Viet, Trestian, Ramona ORCID logoORCID:, Karamanoglu, Mehmet ORCID logoORCID:, Barn, Balbir ORCID logoORCID: and Nguyen, Huan X. ORCID logoORCID: (2022) An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory. In: 11th International Conference on Industrial Technology and Management, 18-20 Feb 2022, Oxford, United Kingdom. . [Conference or Workshop Item] (Accepted/In press)

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Industry 4.0 is currently transforming the industrial landscape through the use of innovative technologies and novel data management approaches. The incorporation of Industry 4.0 brought new dimensions of improvement and autonomy into the existing industrial manufacturing processes which has also led to increased expectations for traceability in manufacturing. Traceability enables the tracking of every part and product of the manufacturing process giving insights into each manufactured component and its full history across each operation step that helps manufacturers improve quality and efficiency. Despite the huge potential in facilitating the optimization of the production lines, product traceability has remained a challenging topic in mass manufacturing. Hence, in this paper, an innovative Blockchain-based framework is proposed to integrate the processes of a real production line using the Industry 4.0 Festo Cyber-Physical Factory located at London Digital Twin Research Centre, Middlesex University. Blockchain technology is a distributed and shared database of events for a product life cycle that is encrypted in blocks or smaller data units. This paper introduces a viable blockchain-based framework implemented within a real smart product assembly for internal traceability within the production process in order to improve the security by preventing counterfeiting, identify specific problems on the production line

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 34871
Notes on copyright: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Ramona Trestian
Date Deposited: 15 Mar 2022 13:38
Last Modified: 07 Jun 2022 23:36

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