Machine Learning in Production Scheduling: An Overview of the Academic Literature
In: Dynamics in Logistics : Proceedings of the 7th International Conference LDIC 2020, Bremen, Germany; (2020) S. 409-419
Online
E-Book
Zugriff:
Titel: |
Machine Learning in Production Scheduling: An Overview of the Academic Literature
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Autor/in / Beteiligte Person: | Takeda-Berger, Satie L. ; Frazzon, Enzo Morosini ; Broda, Eike ; Freitag, Michael ; Clausen, Uwe, Series Editor ; Hompel, Michael ten, Series Editor ; de Souza, Robert, Series Editor ; Freitag, Michael [Ed.] ; Haasis, Hans-Dietrich [Ed.] ; Kotzab, Herbert [Ed.] ; Pannek, Jürgen [Ed.] |
Quelle: | Dynamics in Logistics : Proceedings of the 7th International Conference LDIC 2020, Bremen, Germany; (2020) S. 409-419 |
Veröffentlichung: | 2020 |
Medientyp: | E-Book |
ISBN: | 978-3-030-44782-3 (print) ; 978-3-030-44783-0 (print) |
DOI: | 10.1007/978-3-030-44783-0_39 |
Sonstiges: |
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