at Google ScholarTitle data
Stauder, Maximilian ; Kühl, Niklas:
AI for in-line vehicle sequence controlling : development and evaluation of an adaptive machine learning artifact to predict sequence deviations in a mixed-model production line.
In: Flexible Services and Manufacturing Journal.
Vol. 34
(2022)
.
- pp. 709-747.
ISSN 1936-6590
DOI: https://doi.org/10.1007/s10696-021-09430-x
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | In-line vehicle sequencing; Sequence scrambling; Supervised classification; Artificial intelligence; Concept drift |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management > Chair Information Systems Management - Univ.-Prof. Dr.-Ing. Niklas Kühl |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 18 Apr 2023 12:22 |
| Last Modified: | 18 Apr 2023 12:22 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/73747 |