Collaborative supervision of dangerous goods supply chain: A blockchain-based conceptual platform

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 DOI:10.1016/j.cie.2024.110818
Ao Wang , Guojun Zhu , Jian Li
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Abstract

Effective supervision and the prevention of concealment and false reporting in dangerous supply chain goods require collaboration among multiple departments. Because of its decentralized consensus mechanism, blockchain has potential as an efficient tool for the collaborative supervision of dangerous goods supply chains. In this study, a blockchain-based conceptual platform was proposed for the supervision of dangerous goods supply chains. It features multiple layers, namely, blockchain, storage, interaction, and interface, each fulfilling distinct roles to ensure a comprehensive and efficient system. To enable efficient on-chain data sharing of diverse types of data, three modes of on-chain data integration leveraging IPFS (InterPlanetary File System) and FISCO BCOS were implemented. Additionally, a traceable state machine was proposed, which uses smart contracts to facilitate the traceability of the supervision process. The feasibility of the conceptual platform was validated through the deployment of a prototype platform with eight blockchain nodes. The results indicate that the platform has a latency of 500–550 ms and approximately 2 TPS (Transactions Per Second) to complete data sharing. It also has a latency of less than 3 s and more than 1 TPS when carrying out complex supervision process tracing. The proposed conceptual platform has the ability to address data silo issues in the dangerous goods supply chain. Moreover, the traceability of the supervision process enhances the accurate tracing of accident liabilities.

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对危险供应链货物进行有效监管,防止瞒报和谎报,需要多个部门的协作。区块链因其去中心化的共识机制,有望成为危险品供应链协同监管的有效工具。本研究提出了一个基于区块链的危险品供应链监管概念平台。该平台具有多个层次,即区块链、存储、交互和接口,每个层次都发挥着不同的作用,以确保系统的全面性和高效性。为了实现各种类型数据的高效链上数据共享,利用 IPFS(跨行星文件系统)和 FISCO BCOS 实现了三种链上数据集成模式。此外,还提出了一种可追溯状态机,利用智能合约促进监管过程的可追溯性。通过部署带有八个区块链节点的原型平台,验证了概念平台的可行性。结果表明,该平台完成数据共享的延迟时间为 500-550 毫秒,每秒交易量约为 2 TPS。在进行复杂的监管流程追踪时,其延迟时间也小于 3 秒,超过 1 TPS。拟议的概念平台有能力解决危险品供应链中的数据孤岛问题。此外,监管过程的可追溯性也提高了事故责任追查的准确性。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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