Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor
Chen-Fu Chien, Yun-Siang Lin and Sheng-Kai Lin
| Year of publication: |
2020
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|---|---|
| Authors: | Chien, Chen-Fu ; Lin, Yun-Siang ; Lin, Sheng-Kai |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 58.2020, 9, p. 2784-2804
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| Subject: | deep reinforcement learning | demand forecasting | Industry 3.5 | model selection | smart production | supply chain management | Lieferkette | Supply chain | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Lernen | Learning | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2020.1733125 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012265271