Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (Hrsg.). Offenburg: publish-Ing., S. 374-384 11 S. 32. (Proceedings of the ... Conference on Production Systems and Logistics; Nr. 7).

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Understanding Resulting Interdependencies Within Production Planning And Control In Hybrid Manufacturing/Remanufacturing Systems

Schulz, J., Hofmann, H., Rokoss, A. & Schmidt, M., 05.2025, Proceedings of the Conference on Production Systems and Logistics: CPSL 2025: 18th – 21th March 2025, University of San Ignacio de Loyola Lima, Peru. Herberger, D. & Hübner, M. (Hrsg.). Offenburg: publish-Ing., S. 114 - 126 13 S. (Proceedings of the ... Conference on Production Systems and Logistics; Band 7).

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Field-Based Assessment of Key Influence Factors for Throughput Time Prediction in Job Shop Manufacturing

Reinhold, J., Rokoss, A. & Schmidt, M., 2026, Advances in Production Management Systems : Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond; 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings; Kamakura, Japan, August 31 – September 4, 2025 Proceedings, Part VI. Mizuyama, H., Morinaga, E., Nonaka, T., Kaihara, T., von Cieminski, G. & Romero, D. (Hrsg.). Cham: Springer Science and Business Media Deutschland, Band 6. S. 201-215 15 S. (IFIP Advances in Information and Communication Technology; Band 769 IFIPAICT).

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