Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning
Jens Heger and Thomas Voss
| Year of publication: |
2023
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|---|---|
| Authors: | Heger, Jens ; Voss, Thomas |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 61.2023, 1, p. 147-161
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| Subject: | reinforcement learning | production planning and control | dynamic adjustment | Sequencing rules | simulation study | Theorie | Theory | Simulation | Lernprozess | Learning process | Scheduling-Verfahren | Scheduling problem | Produktionsplanung | Production planning | Produktionssteuerung | Production control |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2021.1943762 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013530875