An inventory data-driven model for predictive-reactive production scheduling
Satie L. Takeda-Berger and Enzo M. Frazzon
| Year of publication: |
2024
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|---|---|
| Authors: | Takeda-Berger, Satie L. ; Frazzon, Enzo Morosini |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 9, p. 3059-3083
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| Subject: | data-driven | inventory | machine learning | predictive-reactive | Production scheduling | simulation-based optimisation | Künstliche Intelligenz | Artificial intelligence | Scheduling-Verfahren | Scheduling problem | Prozessmanagement | Business process management | Simulation | Lagermanagement | Warehouse management | Produktionswirtschaft | Production management | Theorie | Theory | Lagerhaltungsmodell | Inventory model | Produktionsplanung | Production planning | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2023.2217297 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014546532