| Title |
Data Driven Process Evaluation Simulation Model For Circular Economy Treatment Processes |
| ID_Doc |
1042 |
| Authors |
Briechle, DF; Lawrenz, S |
| Title |
Data Driven Process Evaluation Simulation Model For Circular Economy Treatment Processes |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/CSCI54926.2021.00087 |
| Abstract |
The extension of product lifetime is one of the currently most discussed topics regarding the transformation towards a Circular Economy. Primarily electronic devices feature a lifetime development that is highly dependable of the current state of technology evolution. Therefore, the adjustment of product attributes throughout its lifetime becomes more and more essential, and ways to implement those changes of features are required in order to reach the goal of a sustainable environment system. The paper focuses on the problem statement regarding the current state of digitized Circular Economy processes and proposes a simulation layer in order to use artificial intelligence to evaluate the state of a product in use to predict its further treatment after a defect or after the end of its technical compliance with the user requirements. |
| Author Keywords |
Circular Economy; Recycling; Process Prediction; Simulation; Artificial Intelligence; Digitalization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000832229300012 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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