| Title |
Evaluating economic opportunities for product recycling via the Sherwood principle and machine learning |
| ID_Doc |
24195 |
| Authors |
Deng, SD; Zhou, XY; Huang, AH; Yih, Y; Sutherland, JW |
| Title |
Evaluating economic opportunities for product recycling via the Sherwood principle and machine learning |
| Year |
2021 |
| Published |
|
| DOI |
10.1016/j.resconrec.2020.105232 |
| Abstract |
In a circular economy, recovering materials from end of life (EoL) products without an appropriate estimation of the cost and revenue may result in unnecessary economic loss. Although research has been carried out on the economic analysis of value recovery from EoL products, few quantitative approaches have examined generalized revenue-cost models. To fill this gap, this study proposes an empirical model to identify economic feasibility of product recycling by integrating machine learning and the Sherwood principle. A boundary that differentiates profitable and non-profitable EoL products for material recycling is quantified and visualized. It is envisioned that the proposed method can be adopted in other circular economy domains for better decision-making. |
| Author Keywords |
Sherwood plot; Recycling; EoL products; Machine learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000652020200005 |
| WoS Category |
Engineering, Environmental; Environmental Sciences |
| Research Area |
Engineering; Environmental Sciences & Ecology |
| PDF |
http://manuscript.elsevier.com/S0921344920305474/pdf/S0921344920305474.pdf
|