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Related Experiment Video

Updated: Aug 17, 2025

Production of Near-Infrared Sensitive, Core-Shell Vaccine Delivery Platform
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Vaccine supply chain coordination using blockchain and artificial intelligence technologies.

Ye Gao1, Hongwei Gao2, Han Xiao1

  • 1School of Business, Qingdao University, Qingdao, 266071, PR China.

Computers & Industrial Engineering
|December 12, 2022
PubMed
Summary
This summary is machine-generated.

Integrating artificial intelligence (AI) and blockchain enhances vaccine supply chains. AI application is beneficial when specific error terms are met, optimizing vaccine distribution and manufacturer profit.

Keywords:
AI technologyBlockchain technologyDifferential gameSupply chain managementVaccine supply chain

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Area of Science:

  • Supply Chain Management
  • Health Informatics
  • Operations Research

Background:

  • The COVID-19 pandemic highlighted critical vulnerabilities in global vaccine supply chains.
  • Effective coordination and technological integration are essential for pandemic response.
  • Existing supply chains face challenges in efficiency, transparency, and adaptability.

Purpose of the Study:

  • To evaluate the combined effectiveness of artificial intelligence (AI) and blockchain in optimizing vaccine supply chains.
  • To model the vaccine supply chain as a dynamic game, considering inventory levels and environmental performance.
  • To provide management insights into the adoption and impact of these technologies.

Main Methods:

  • A two-player dynamic game model was developed, incorporating inventory levels as the system's dynamic equation.
  • The study analyzed the interplay between AI, blockchain, and various operational factors.
  • Environmental performance and economic factors like revenue sharing and commission ratios were integrated into the model.

Main Results:

  • The relationship between the difficulty of obtaining certified vaccines and manufacturer profit is non-monotonic.
  • Vaccine manufacturers exhibit higher sensitivity to changes in vaccine attenuation rates.
  • The effectiveness of AI in vaccine supply chains is contingent upon specific error term intervals.

Conclusions:

  • Before implementing AI and blockchain, vaccine supply chains must assess consumer access difficulties and forecast error magnitudes.
  • AI integration is strategically valuable in vaccine supply chains under defined error term conditions.
  • Technological adoption requires careful consideration of market dynamics and operational uncertainties.