Multi-objective reinforcement learning-based framework for solving selective maintenance problems in reconfigurable cyber-physical manufacturing systems
Fatima Ezzahra Achamrah and Ali Attajer
| Year of publication: |
2024
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|---|---|
| Authors: | Achamrah, Fatima Ezzahra ; Attajer, Ali |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 10, p. 3460-3482
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| Subject: | cyber-physical manufacturing systems | imperfect observations | imperfect repairs | multi-objective deep reinforcement learning | reconfigurable manufacturing systems | Selective maintenance | Produktionssystem | Manufacturing system | Instandhaltung | Maintenance policy | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2023.2240433 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014547051