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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.

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Title: 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.
Authors: Stauder, Maximilian1, Kühl, Niklas1, kuehl@kit.edu
Source: Flexible Services & Manufacturing Journal; Sep2022, Vol. 34 Issue 3, p709-747, 39p
Database: Applied Science & Technology Source
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  Data: 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.
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  Data: <searchLink fieldCode="JN" term="%22Flexible+Services+%26+Manufacturing+Journal%22">Flexible Services & Manufacturing Journal</searchLink>; Sep2022, Vol. 34 Issue 3, p709-747, 39p
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        Value: 10.1007/s10696-021-09430-x
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      – Code: eng
        Text: English
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        PageCount: 39
        StartPage: 709
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      – TitleFull: 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.
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            NameFull: Stauder, Maximilian
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            NameFull: Kühl, Niklas
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            – D: 01
              M: 09
              Text: Sep2022
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              Y: 2022
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