A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing
Min Kong, Weizhong Wang, Muhammet Deveci, Yajing Zhang, Xuzhong Wu and D'Maris Coffman
| Year of publication: |
2024
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|---|---|
| Authors: | Kong, Min ; Wang, Weizhong ; Deveci, Muhammet ; Zhang, Yajing ; Wu, Xuzhong ; Coffman, D'Maris |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 18, p. 6449-6472
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| Subject: | Semiconductor manufacturing | deep reinforcement learning | less is more | parallel batch scheduling | carbonreduction engineering | Halbleiterindustrie | Semiconductor industry | Scheduling-Verfahren | Scheduling problem | Algorithmus | Algorithm | Halbleiter | Semiconductor | Treibhausgas-Emissionen | Greenhouse gas emissions | Produktionssteuerung | Production control |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2023.2252932 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015084532