A Novel Collaborative Method to Integrate Carbon Efficiency into Multi-Equipment Operational Coupling for Smart Manufacturing System
In the context of carbon neutrality and smart manufacturing, balancing the challenge of carbon and operational efficiency has become a hotspot issue. However, within the specific stage of multi-equipment collaborative manufacturing operational coupling in the production process, multi-state characteristics of equipment operation, multidependencies among operational states, the multi-source of carbon emissions, and spatiotemporal sequence coupling raise the dynamics and complexity of carbon emission modeling and carbon efficiency evaluation. Therefore, a novel methodology to integrate carbon efficiency into a multi-equipment collaboration manufacturing service cell (MECMfg-SC) is proposed in this paper. The stage of multi-equipment collaboration manufacturing operational coupling (MECMfg-OC) in the process of multi-equipment collaboration manufacturing is presented and explained. Then, the operational coupling energy consumption model is constructed based on the MECMfg-OC. The environmental cost performance indicators for smart manufacturing systems, including energy efficiency evaluation (EEe) indicators and carbon efficiency evaluation (CEe) indicators, are proposed. At last, a ball screw smart workshop in a leading Chinese NEV enterprise is introduced to verify the proposed approach. Empirical results confirm the approach’s effectiveness and practical viability.
Authors
- Yuxuan Li (ORCID: https://orcid.org/0000-0002-9084-7269)
- Lijun Liu (ORCID: https://orcid.org/0000-0002-1443-0998)
- Xiaoyu Wang (ORCID: https://orcid.org/0009-0001-1331-4821)
- Xinyu Li (ORCID: https://orcid.org/0000-0002-4117-9698)
- Wei Yang (ORCID: https://orcid.org/0000-0003-0219-936X)
- H. Y. Meng
Institutions
- Donghua University (CN)
- Shaanxi University of Science and Technology (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-09-18
- DOI
- https://doi.org/10.3390/su17188390
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00