| Title |
A novel intelligent manufacturing mode with human-cyber-physical collaboration and fusion in the non-ferrous metal industry |
| ID_Doc |
65227 |
| Authors |
Liu, Q; Liu, M; Wang, ZC; Yan, F; Ma, YY; Shen, WM |
| Title |
A novel intelligent manufacturing mode with human-cyber-physical collaboration and fusion in the non-ferrous metal industry |
| Year |
2022 |
| Published |
International Journal Of Advanced Manufacturing Technology, 119.0, 1-2 |
| DOI |
10.1007/s00170-021-08250-5 |
| Abstract |
The non-ferrous metal industry is one of the most important parts of China's process industry and has an extremely important strategic position in the national economy. However, there are many problems in the process of non-ferrous metal smelting: (1) The utilization rate of resource and energy is low in the production process. (2) Large amount of waste emissions have caused prominent environmental problems. (3) The added value of non-ferrous metals is low; besides, the product homogenization is serious. To solve these problems, a novel intelligent manufacturing mode with human-cyber-physical(HCP)collaboration and fusion is constructed from three aspects: (1) an intelligent manufacturing system with HCP collaboration and fusion, (2) a service-based ecosystem platform, and (3) a sustainable business model. The proposed manufacturing mode can make the process of non-ferrous smelting safe, efficient, intelligent, and green. A case study on the largest copper smelting enterprise in the world elaborates the digital twin-based manufacturing system collaborative platform architecture, the framework of the service-based ecosystem platform, and the sustainable business model canvas, which are built by the proposed intelligent manufacturing mode. The results of this paper contribute to the research and practice of non-ferrous metals enterprise's manufacturing mode. |
| Author Keywords |
Non-ferrous metal industry; Intelligent manufacturing mode with human-cyber-physical collaboration and fusion; Service-based ecosystem platform; Sustainable business model; Digital twin |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000714327700001 |
| WoS Category |
Automation & Control Systems; Engineering, Manufacturing |
| Research Area |
Automation & Control Systems; Engineering |
| PDF |
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