Adoption and Optimization of Blockchain Technology in the Regulation of Class II Vaccines

被引:0
|
作者
Wan, Yi [1 ,2 ]
Huang, Hailong [3 ]
机构
[1] Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China
[2] Shaoxing Univ, Inst Artificial Intelligence, Shaoxing 312000, Peoples R China
[3] Wenzhou Univ, Coll Comp Sci & Artificial Intelligence, Wenzhou 325000, Peoples R China
关键词
INDEX TERMS Class-II vaccine traceability system; vaccine quality; blockchain technology; reliability theory; fuzzy dynamic decision-making; multi-collaborative supervision; supply chains;
D O I
10.1109/ACCESS.2023.3301772
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, there are many problems and challenges in the management of Class II vaccines, for example, regulatory regulations, the regulatory system and the quality supervision for second-class vaccines are not yet complete. Blockchain technology will play an increasingly important role in the safety supervision of Class II vaccines. Firstly, we have explored the vulnerabilities and causes of second-class vaccine safety supervision in this paper. Then we have studied the impacts of blockchain technology on second-class vaccine supervision and the potential drivers of adoption by reliability theory and fuzzy dynamic decision-making method. Finally, based on the study results, a modular and sustainable supply chain integration optimization design has be proposed for the second-class vaccine safety supervision system, the supervision system based on optimization design has deep traceability and disintermediation to track and monitor the quality of each stage of the entire supply chain, and has characteristics such as intelligence, scalability, and compatibility. This study provides theoretical basis and technical support for embedding blockchain ICT into the multi-agent collaborative supervision of class II vaccines.
引用
收藏
页码:84607 / 84619
页数:13
相关论文
共 50 条
  • [41] FACTORS INFLUENCING ADOPTION OF BLOCKCHAIN TECHNOLOGY IN JORDAN: THE PERSPECTIVE OF HEALTHCARE PROFESSIONALS
    Altamimi A.M.
    Qattous H.
    Barakat D.
    Hazaimeh L.
    Interdisciplinary Journal of Information, Knowledge, and Management, 2024, 19
  • [42] Blockchain technology adoption in a supply chain: Channel leaderships and environmental implications
    Dou, Guowei
    Wei, Kun
    Sun, Tingting
    Ma, Lijun
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 192
  • [43] Understanding the Blockchain technology adoption in supply chains-Indian context
    Kamble, Sachin
    Gunasekaran, Angappa
    Arha, Himanshu
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (07) : 2009 - 2033
  • [44] Uncovering the Strategic Potential of Blockchain Technology Adoption: A Systematic Literature Review
    Pooja, Mayur M.
    Chikhale, Mayur M.
    Dhir, Sanjay
    STRATEGIC CHANGE-BRIEFINGS IN ENTREPRENEURIAL FINANCE, 2025, 34 (02): : 151 - 180
  • [45] Modeling the enablers for blockchain technology adoption in renewable energy supply chain
    Sahebi, Iman Ghasemian
    Mosayebi, Alireza
    Masoomi, Behzad
    Marandi, Fatemeh
    TECHNOLOGY IN SOCIETY, 2022, 68
  • [47] Exploring the factors affecting the adoption of blockchain technology in the supply chain and logistic industry
    Mthimkhulu, Ayanda
    Jokonya, Osden
    JOURNAL OF TRANSPORT AND SUPPLY CHAIN MANAGEMENT, 2022, 16
  • [48] A hybrid framework to prioritize the performance metrics for Blockchain technology adoption in manufacturing industries
    Matey, Shweta V.
    Raut, Dadarao N.
    Pansare, Rajesh B.
    Kant, Ravi
    JOURNAL OF MODELLING IN MANAGEMENT, 2024,
  • [49] Benchmarking the Interactions among Challenges for Blockchain Technology Adoption: A Circular Economy Perspective
    Panghal, Anupama
    Sindhu, Shilpa
    Dahiya, Shweta
    Dahiya, Bharat
    Mor, Rahul S.
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2022, 7 (06) : 859 - 872
  • [50] Analysis of the challenges for blockchain technology adoption in the Indian health-care sector
    Dhingra, Sarthak
    Raut, Rakesh
    Gunasekaran, Angappa
    Naik, B. Koteswara Rao
    Masuna, Venkateshwarlu
    JOURNAL OF MODELLING IN MANAGEMENT, 2024, 19 (02) : 375 - 406