APA (7th ed.) Citation

Stauder, M., & Kühl, N. (2022). 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. Flexible Services & Manufacturing Journal, 34(3), 709. https://doi.org/10.1007/s10696-021-09430-x

Chicago Style (17th ed.) Citation

Stauder, Maximilian, and Niklas Kühl. "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." Flexible Services & Manufacturing Journal 34, no. 3 (2022): 709. https://doi.org/10.1007/s10696-021-09430-x.

MLA (9th ed.) Citation

Stauder, Maximilian, and Niklas Kühl. "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." Flexible Services & Manufacturing Journal, vol. 34, no. 3, 2022, p. 709, https://doi.org/10.1007/s10696-021-09430-x.