Suppr超能文献

面向制造企业的低碳转型管理:生态效率视角。

Data-driven low-carbon transformation management for manufacturing enterprises: an eco-efficiency perspective.

机构信息

College of Mechanical and Electronic Engineering, Suzhou University, Suzhou, 234000, China.

School of Economics and Management, China University of Mining and Technology, XuZhou, 221116, China.

出版信息

Environ Sci Pollut Res Int. 2023 Oct;30(46):102519-102530. doi: 10.1007/s11356-023-29573-8. Epub 2023 Sep 5.

Abstract

The low-carbon transformation of manufacturing enterprises is considered to be imperative to achieve carbon neutrality. Therefore, we propose a data-driven strategy to achieve a low-carbon transformation of manufacturing enterprises from an eco-efficiency perspective. Following the collection of input (energy, materials, equipment, R&D, and services) and output (waste and products) data from production systems of manufacturing enterprises, an ecological efficiency model of manufacturing enterprise production system was constructed from the perspective of carbon emissions, thus allowing the quantitative evaluation of the ecological efficiency of the production system. Furthermore, a "measurable, evaluable, and optimized" low-carbon transformation and upgrading method for manufacturing enterprise production system was established. Finally, through the production practice data of an enterprise from 2017 to 2021, the feasibility and effectiveness of this method were verified. The results show that this method can effectively improve the ecological efficiency of enterprises by 3.6% and reduce waste emissions by 12%. Our study provides new tools for improving the ecological efficiency of manufacturing systems, along with theoretical and methodological support to manufacturing enterprises for low-carbon transformation.

摘要

制造业企业的低碳转型对于实现碳中和至关重要。因此,我们提出了一种数据驱动的策略,从生态效率的角度实现制造业企业的低碳转型。在收集制造业企业生产系统的投入(能源、材料、设备、研发和服务)和产出(废物和产品)数据后,从碳排放的角度构建了制造业企业生产系统的生态效率模型,从而能够对生产系统的生态效率进行定量评价。此外,建立了“可衡量、可评估、可优化”的制造业企业生产系统低碳转型升级方法。最后,通过对企业 2017 年至 2021 年的生产实践数据进行验证,验证了该方法的可行性和有效性。结果表明,该方法可有效提高企业生态效率 3.6%,降低废物排放 12%。本研究为提高制造业系统的生态效率提供了新的工具,为制造企业的低碳转型提供了理论和方法支持。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验