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 › Begutachtung

Originalsprache	Englisch
Titel	Intelligent Computation in Manufacturing Engineering : Proceedings of the CIRP ICME 2025
Publikationsstatus	Angenommen/Im Druck - 2026

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@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",

}

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

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 -