| Title |
Circular economy meets industry 4.0: Can big data drive industrial symbiosis? |
| ID_Doc |
2506 |
| Authors |
Tseng, ML; Tan, RR; Chiu, ASF; Chien, CF; Kuo, TC |
| Title |
Circular economy meets industry 4.0: Can big data drive industrial symbiosis? |
| Year |
2018 |
| Published |
|
| DOI |
10.1016/j.resconrec.2017.12.028 |
| Abstract |
Cross-industry networks of multiple supply chains have evolved in the circular economy model using approaches such as industrial and urban symbiosis. However, the implementation of such sustainable industrial networks with matrix-like structures is not straightforward. Despite the clear benefits of big data-driven industrial symbiosis, corporates have noted that social, environmental and economic perspectives are also highly appreciated in the cross-industry networks. Moreover, gaps remain in operational data-driven and recycle, reduce and reuse optimization solutions, which may be the key components of industrial symbiosis practices. |
| Author Keywords |
Circular economy; Data-driven analysis method; Big data-driven industrial symbiosis; Industrial 4.0 |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000426411700012 |
| WoS Category |
Engineering, Environmental; Environmental Sciences |
| Research Area |
Engineering; Environmental Sciences & Ecology |
| PDF |
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