A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks

Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (Hrsg.). Berlin: GITO mbH Verlag, S. 125-142 18 S. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).

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Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies

Kramer, K., Rokoss, A. & Schmidt, M., 2021, Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 2021; Proceedings. Herberger, D. & Hübner, M. (Hrsg.). Offenburg: publish-Ing., S. 223-233 11 S. (Proceedings of the ... Conference on Production Systems and Logistics; Band 2).

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Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing

Kramer, K., Wagner, C. & Schmidt, M., 2020, Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems - IFIP WG 5.7 International Conference, APMS 2020, Proceedings: The Path to Digital Transformation and Innovation of Production Management Systems IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. Lalic, B., Marjanovic, U., Majstorovic, V., von Cieminski, G. & Romero, D. (Hrsg.). Cham: Springer, Band 1. S. 363-370 8 S. (IFIP Advances in Information and Communication Technology; Band 591 IFIP).

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