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Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study. / Wolter, Ferenc; Jaenecke, Patrick; Rokoss, Alexander et al.
Intelligent Computation in Manufacturing Engineering: Proceedings of the CIRP ICME 2025. 2026. (Procedia CIRP).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Wolter, F, Jaenecke, P, Rokoss, A & Schmidt, M 2026, Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study. in Intelligent Computation in Manufacturing Engineering: Proceedings of the CIRP ICME 2025. Procedia CIRP.

APA

Wolter, F., Jaenecke, P., Rokoss, A., & Schmidt, M. (in press). Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study. In Intelligent Computation in Manufacturing Engineering: Proceedings of the CIRP ICME 2025 (Procedia CIRP).

Vancouver

Wolter F, Jaenecke P, Rokoss A, Schmidt M. Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study. In Intelligent Computation in Manufacturing Engineering: Proceedings of the CIRP ICME 2025. 2026. (Procedia CIRP).

Bibtex

@inbook{a3bfa5b9d945414995809055ef00e60a,
title = "Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study",
author = "Ferenc Wolter and Patrick Jaenecke and Alexander Rokoss and Matthias Schmidt",
year = "2026",
language = "English",
series = "Procedia CIRP",
publisher = "Elsevier",
booktitle = "Intelligent Computation in Manufacturing Engineering",

}

RIS

TY - CHAP

T1 - Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study

AU - Wolter, Ferenc

AU - Jaenecke, Patrick

AU - Rokoss, Alexander

AU - Schmidt, Matthias

PY - 2026

Y1 - 2026

M3 - Article in conference proceedings

T3 - Procedia CIRP

BT - Intelligent Computation in Manufacturing Engineering

ER -

Other publications by the same author(s)

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. (eds.). Cham: Springer Science and Business Media Deutschland, Vol. 6. p. 201-215 15 p. (IFIP Advances in Information and Communication Technology; vol. 769 IFIPAICT).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Forecast-Based Assessment of Investment Requirements for Circular Business Models in Industrial Production

Philipp, L., Fischer, M., Wolter, F., Metternich, J., Stamer, F. & Schmidt, M., 2026, (Accepted/In press) Production at the Leading Edge of Technology - Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP). Springer

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Machine Learning for Sales Forecasting in Industrial Environments: A Systematic Literature Review of Input Factors and Applied Methods

Wolter, F., Prieß, J., Rösler, V., Rokoss, A. & Stamer, F., 2026, (Accepted/In press) Production at the Leading Edge of Technology - Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP). Springer

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Implementierung von Produktrückführungsprozessen in bestehende Produktionsabläufe: Herausforderungen und Anforderungen

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

Research output: Journal contributions › Journal articles › Research › peer-review

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. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review