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制造企业的数据驱动的低碳转型管理:一个生态效率的视角
Cuixia Zhang1, Fan Liu2,3, Conghu Liu1
1College of Mechanical and Electronic Engineering, Suzhou University, Suzhou, 234000, China.
Environmental science and pollution research international
|September 5, 2023
概括
本研究介绍了制造企业实现低碳转型的数据驱动战略. 生态效率模型提高了3.6%的生态效率,减少了12%的废物.
科学领域:
- 环境科学 环境科学
- 工业工程 工业工程 工业工程
- 可持续性研究 可持续性研究
背景情况:
- 实现碳中和需要制造业企业的低碳转型.
- 生态效率是评估制造业可持续性的关键观点.
- 现有的方法缺乏量化,数据驱动的低碳转型方法.
研究的目的:
- 为制造业企业的低碳转型提出数据驱动的战略.
- 开发一个定量模型来评估制造业生产系统的生态效率.
- 建立一个可测量,可评估和优化的低碳升级方法.
主要方法:
- 从制造业生产系统收集的输入 (能源,材料,设备,研发,服务) 和输出 (废物,产品) 数据.
- 构建了一个以碳排放为中心的生态效率模型,用于定量评估.
- 开发并验证了使用企业数据 (2017-2021) 的"可测量,可评估和优化"的转型方法.
主要成果:
- 提出的方法有效地提高了企业的生态效率3.6%.
- 通过实施的战略,废物排放量减少了12%.
- 数据驱动的方法在实践中证明了可行性和有效性.
结论:
- 该研究为提高制造系统的生态效率提供了新的工具.
- 为追求低碳转型的制造企业提供理论和方法支持.
- 强调数据驱动,生态效率视角对于可持续制造的重要性.
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