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1 Ergebnisse
1
A deep reinforcement learning approach for optimal replenis..:
, In:
Proceedings of the Winter Simulation Conference
,
Afridi, Muhammad Tariq
;
Nieto-Isaza, Santiago
;
Ehm, Hans
.. - p. 1753-1764 , 2020
Link:
https://dl.acm.org/doi/10.5555/3466184.3466382
RT T1
Proceedings of the Winter Simulation Conference
: T1
A deep reinforcement learning approach for optimal replenishment policy in a vendor managed inventory setting for semiconductors
UL https://suche.suub.uni-bremen.de/peid=acm-3466382&Exemplar=1&LAN=DE A1 Afridi, Muhammad Tariq A1 Nieto-Isaza, Santiago A1 Ehm, Hans A1 Ponsignon, Thomas A1 Hamed, Abdelgafar PB IEEE Press YR 2020 K1 Applied computing K1 Enterprise computing K1 Computing methodologies K1 Modeling and simulation K1 Model development and analysis SP 1753 OP 1764 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3466184.3466382 DO https://dl.acm.org/doi/10.5555/3466184.3466382 SF ELIB - SuUB Bremen
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