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
Crossref DOI link: https://doi.org/10.1007/s10696-021-09430-x
Published Online: 2021-08-15
Published Print: 2022-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Stauder, Maximilian http://orcid.org/0000-0003-4419-6976
Kühl, Niklas
Funding for this research was provided by:
Karlsruher Institut für Technologie (KIT)
Text and Data Mining valid from 2021-08-15
Version of Record valid from 2021-08-15
Article History
Accepted: 3 August 2021
First Online: 15 August 2021