Development of a product return process in the context of the Circular Economy with the help of Machine Learning
- The Circular Economy aims to reintroduce the value of products back into the economic cycle at the same value chain level. While the activities of the Circular Economy are already well-defined, there exists a gap in how returned products are treated by the industry. This study aims to examine how a process should be designed to handle returned products in the context of the Circular Economy. To achieve this, a machine learning-based algorithm is used to classify data and extract relevant information throughout the product life cycle. The focus of this research is limited to land transportation systems within the Sharing Economy sector.
| Author of HS Reutlingen | Braun, Anja; Walter, Selina |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-48491 |
| DOI: | https://doi.org/10.1016/j.procir.2023.09.201 |
| ISSN: | 2212-8271 |
| Erschienen in: | Procedia CIRP |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Document Type: | Journal article |
| Language: | English |
| Publication year: | 2023 |
| Volume: | 120 |
| Issue: | 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa |
| Page Number: | 6 |
| First Page: | 1498 |
| Last Page: | 1503 |
| DDC classes: | 330 Wirtschaft |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
