학술논문

Data Driven Process Evaluation Simulation Model For Circular Economy Treatment Processes
Document Type
Conference
Source
2021 International Conference on Computational Science and Computational Intelligence (CSCI) CSCI Computational Science and Computational Intelligence (CSCI), 2021 International Conference on. :72-78 Dec, 2021
Subject
Computing and Processing
Scientific computing
Computational modeling
Predictive models
Data models
Artificial intelligence
Computational intelligence
Circular Economy
Recycling
Process Prediction
Simulation
Artificial Intelligence
Digitalization
Language
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.