Revolutionising Vaccine Supply Chains: A Federated Blockchain Framework With Smart Contracts for Enhanced Scalability and Security

IF 3.1 Q2 ENGINEERING, INDUSTRIAL
Nirupam Saha, Rajesh Bose, Sandip Roy, Arfat Ahmad Khan, Shrabani Sutradhar, Somnath Mondal, Mohd Asif Shah
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引用次数: 0

Abstract

Efficiency, security and transparency are critical for public health issues such as counterfeit vaccines, cold chain integrity and data authenticity. This study introduces a decentralised smart contract-driven blockchain framework that incorporates federated learning and edge computing to overcome the limitations of traditional centralised systems. Through decentralised decision-making and real-time data management, the proposed framework facilitates traceability, reduces vaccine wastage and ensures robust cold chain monitoring. The framework applied hybrid evaluation using Blockchain Impact Modelling (BIM) and Multi-Criteria Decision Analysis (MCDA) in order to show prominent improvement in scalability, security and operational efficiency. The experimental results confirm that the framework can detect temperature anomalies 76% faster, increase transaction throughput by 36.1% and improve breach detection to 99.7%. Smart contracts enable automated and accurate decision-making, whereas FL ensures privacy-preserving analytics among stakeholders. EC integration reduces latency and computational overhead, allowing real-time responses. This new architecture provides a strong foundation for vaccine supply chain management, addressing global challenges while adapting to different regulatory landscapes. This framework marks a new benchmark in securing healthcare logistics and extending its applicability to broader pharmaceutical supply chains.

Abstract Image

Abstract Image

革命性的疫苗供应链:具有增强可扩展性和安全性的智能合约的联邦区块链框架
效率、安全和透明度对于假冒疫苗、冷链完整性和数据真实性等公共卫生问题至关重要。本研究引入了一个分散的智能合约驱动的区块链框架,该框架结合了联邦学习和边缘计算,以克服传统集中式系统的局限性。通过分散决策和实时数据管理,拟议的框架促进了可追溯性,减少了疫苗浪费,并确保了强有力的冷链监测。该框架采用区块链影响模型(BIM)和多标准决策分析(MCDA)的混合评估,以显示在可扩展性、安全性和运营效率方面的显著改进。实验结果证实,该框架检测温度异常的速度提高了76%,交易吞吐量提高了36.1%,漏洞检测提高了99.7%。智能合约能够实现自动化和准确的决策,而FL确保利益相关者之间的隐私保护分析。EC集成减少了延迟和计算开销,允许实时响应。这一新架构为疫苗供应链管理提供了坚实的基础,在应对全球挑战的同时适应不同的监管格局。该框架标志着确保医疗保健物流并将其适用性扩展到更广泛的药品供应链方面的新基准。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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