Design of blockchain-based trusted manufacturing supply chain traceability framework

Wang Tianzhu1,2,3,4
Li Ling1
Peng Zhichen1,2,3,4
Shao Xinzhe2,3,4
Ku Tao2,3,4
1. College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
2. Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
3. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
4. Institutes for Robotics & Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China

Abstract

To address the lack of transparency in traditional manufacturing supply chain management, the vulnerability to data tampering, and the insufficient traceability capabilities, which result in a lack of trust between supply chain organizations and increased opportunity costs, this paper designed the TMSCT framework by using blockchain technology. Firstly, it designed a master-slave chain collaboration mechanism to enable trustworthy collaboration while protecting privacy. Secondly, it implemented a hybrid on-chain and off-chain storage mode to alleviate storage pressure on distributed nodes. Finally, it constructed a B-Merkle tree based on Bloom filter and Merkle tree to quickly determine if the current block contained the target data. Experimental results demonstrate that the B-Merkle tree effectively reduces the average processing latency of query requests. The proposed framework outperforms existing solutions in terms of data existence verification, privacy protection, flexibility, and alleviating storage pressure on nodes.

Foundation Support

辽宁省中央引导地方科技发展专项资金资助项目(2023020299-JH6/1001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0389
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Technology of Blockchain
Pages: 1308-1313
Serial Number: 1001-3695(2024)05-004-1308-06

Publish History

[2023-11-01] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

王天柱, 李凌, 彭志辰, 等. 基于区块链的可信制造供应链溯源框架设计 [J]. 计算机应用研究, 2024, 41 (5): 1308-1313. (Wang Tianzhu, Li Ling, Peng Zhichen, et al. Design of blockchain-based trusted manufacturing supply chain traceability framework [J]. Application Research of Computers, 2024, 41 (5): 1308-1313. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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