Abstract
Accounting and management of energy consumption and carbon emissions in manufacturing are essential for enterprises aiming to establish low-carbon supply chains and reduce the costs imposed by carbon taxation. However, complex product manufacturing systems, with multi-component structures, long supply chains and dynamic process variability, limit the precision of Life Cycle Assessment-driven energy and carbon management (ECM) frameworks. In this paper, the Supply Chain Manufacturing System (SCMS) is first introduced, and a holistic methodology is proposed to support system-wide ECM for complex product manufacturing. First, the concept of SCMS is formalized and its energy-carbon characteristics are analyzed. Second, the proportion of energy consumption and the fluctuation of carbon emissions are defined to classify supply chain enterprises with respect to long-term costs and short-term fluctuation risk. Based on the classification, the differentiated management paradigms of SCMS are designed, including data-coupled, period-coupled and full-process-coupled management. Finally, the methodology is verified on a typical automobile SCMS with three representative suppliers. The results show per-unit carbon emission reductions of 13.29, 7.27, and 0.79 kg CO2 across the three suppliers, indicating that the methodology achieves effective ECM for complex product manufacturing at relatively low cost.
| Original language | English |
|---|---|
| Article number | 2658692 |
| Number of pages | 33 |
| Journal | International Journal of Systems Science: Operations and Logistics |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 31 Dec 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
Keywords
- complex product
- energy and carbon management
- energy-carbon characteristics
- subsystem classification
- Supply chain manufacturing systems
ASJC Scopus subject areas
- Management Information Systems
- Information Systems
- Management Science and Operations Research
- Information Systems and Management
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