走向数字智能:绿色和智能制造的可持续方法
Wei Zhang1, Peng Zhang2, Wukang Zhang3
1School of Economics and Management, Xi'an University of Technology, Xi'an, 710054, China.
Journal of environmental management
|August 14, 2025
概括
企业必须整合人工智能 (AI) 来实现可持续制造,但G20国家面临着挑战. 这项研究揭示了G20制造业对人工智能采用的差异,强调了合作和投资的必要性.
科学领域:
- 工业工程 工业工程 工业工程
- 可持续性科学 可持续性科学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在制造业的整合对于实现绿色和可持续经济目标至关重要.
- 二十国集团经济体在制造业中采用数字智能遇到重大障碍,阻碍了企业的可持续发展努力.
研究的目的:
- 评估G20国家制造业的数字智能水平.
- 确定G20成员国在数字情报采用和创新的差异.
主要方法:
- 使用因子分析,批判性地检查数字智能水平.
- 为了评估G20国家制造业部门,采用了CRITIC-的组合权重模型.
主要成果:
- 在G20制造业中观察到数字智能采用的显著差异.
- 美国和韩国展示了领先的数字智能应用,而加拿大和意大利则显示了较慢的,统一的采用.
- 在G20成员国中,数字智能技术创新应用存在显著的差距.
结论:
- 在G20国家内部和跨国企业间的合作对于推动制造业数字智能发展至关重要.
- 建议增加对数字智能转型的投资,以使智能制造与绿色和可持续发展目标保持一致.
- 提供了可行的政策见解,以促进20国集团内的可持续工业增长.
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