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Logistic Operating Curves in Theory and Practice

Publikation: Beiträge in Sammelwerken › Aufsätze in Sammelwerken › Forschung

Authors

OriginalspracheEnglisch
TitelAdvances in Computer Science and Engineering
HerausgeberMatthias Schmidt
Anzahl der Seiten19
ErscheinungsortRijeka
VerlagInTech Open Access Publisher
Erscheinungsdatum22.03.2011
Seiten371-390
ISBN (elektronisch)978-953-307-173-2
DOIs
PublikationsstatusErschienen - 22.03.2011
Extern publiziertJa

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Sandner, S., Nübel, M., Schulz, J., Metternich, J. & Schmidt, M., 20.06.2025, in: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 120, 6, S. 397-403 7 S.

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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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Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning

Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (Hrsg.). Hannover: publish-Ing., S. 415-431 17 S. (Proceedings of the Conference on Production Systems and Logistics; Band 2024).

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Case study on delivery time determination using a machine learning approach in small batch production companies

Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, in: Journal of Intelligent Manufacturing. 35, 8, S. 3937-3958 22 S.

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DOI

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