Blockchain-Based Traceability and Management for Additive Manufacturing

Alkhader, Wala and Alkaabi, Nouf and Salah, Khaled and Jayaraman, Raja and Arshad, Junaid and Omar, Mohammed (2020) Blockchain-Based Traceability and Management for Additive Manufacturing. IEEE Access, 8. pp. 188363-188377. ISSN 2169-3536

Preview

Text Blockchain-Based Traceability and Management for Additive Manufacturing.pdf - Accepted Version Available under License Creative Commons Attribution. Download (5MB)

Abstract

Additive Manufacturing (AM) is a major advancement in the digitization of manufacturing and production operations. Additive manufacturing uses three dimensional digital design, software and hardware equipment to precisely deposit layered materials for on-demand product manufacturing. The distinct
advantages in enabling additive manufacturing includes cost efficiency, reduced time-to-market, flexibility and precise customization. However, several challenges such as trusted traceability, certification for quality compliance, and protecting intellectual property need to be addressed. Blockchain-based distributed ledgers provide tremendous advantages for product traceability and ensure trust among participating stakeholders. In this paper, we propose a blockchain-based solution for product traceability produced using additive
manufacturing, guaranteeing secure and trusted traceability, accessibility, and immutability of transactions, and data provenance among supply chain stakeholders. Our proposed solution utilizes Ethereum smart contracts to govern and trace transactions initiated by participants involved in the manufacturing process. Decentralized storage of Inter-Planetary File Systems is used to store and share design files, IoT device records, and additional product specifications. We provide the system architecture, implementation, and
detailed algorithms that demonstrate the working principles of our proposed solution for secure AM. Furthermore, we present detailed security and cost analysis of the solution highlighting its efficiency with respect to key security and performance requirements.

Item Type:	Article
Identification Number:	10.1109/ACCESS.2020.3031536
Dates:	Date Event 12 October 2020 Accepted 15 October 2020 Published Online
Uncontrolled Keywords:	Additive Manufacturing, Blockchain, Supply Chain, 3D Printing, Cybersecurity, Trust,Traceability
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Junaid Arshad
Date Deposited:	14 Oct 2020 15:06
Last Modified:	22 Mar 2023 12:00
URI:	https://www.open-access.bcu.ac.uk/id/eprint/10094

Actions (login required)

View Item