Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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).
Intelligent Computation in Manufacturing Engineering: Proceedings of the CIRP ICME 2025. 2026. (Procedia CIRP).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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. (im Druck). 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 -