相关实验视频
Updated: Jun 28, 2025

Remote Laboratory Management: Respiratory Virus Diagnostics
Published on: April 6, 2019
一个基于区块链,人工智能和大数据分析的框架,以利用供应链弹性考虑COVID-19的情况
Samuel Fosso Wamba1, Maciel M Queiroz2
1TBS Business School, Toulouse, 31068, France.
这项研究提出了一个使用人工智能,区块链和大数据分析的新框架,以帮助企业克服COVID-19等事件造成的供应链中断. 这项研究为管理先进技术的供应链风险提供了新的见解.
科学领域:
- 供应链管理 供应链管理
- 灾害管理 灾害管理
- 信息技术 信息技术 信息技术
背景情况:
- 全球供应链由于相互联系而面临更大的风险.
- COVID-19 疫情造成了前所未有的干扰,影响了商品流动,造成了短缺.
- 企业需要有效的战略,在中断期间和之后调整运营.
研究的目的:
- 为减轻供应链中断提出一个新的框架.
- 利用人工智能,区块链和大数据分析来提高供应链的弹性.
- 为学者和从业者提供使用尖端技术的新分类和见解.
主要方法:
- 开发一个整合人工智能,区块链和大数据分析的概念框架.
- 对供应链漏洞和弹性战略的分析.
- 文献综述和对供应链中技术采用现有研究的综合.
主要成果:
- 一个拟议的框架,旨在提高供应链的适应性和稳定性.
- 识别关键的技术组件,用于管理中断.
- 新的分类指导了先进技术的应用.
结论:
- 人工智能,区块链和大数据分析的整合为管理供应链中断提供了一个有希望的方法.
- 拟议的框架为建立更有弹性的供应链提供了基础.
- 需要进一步的研究来验证和在现实世界中实施拟议的策略.
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