A novel hybrid artificial intelligence-based decision support framework to predict lead time
Ayşe Tuğba Dosdoğru, Aslı Boru İpek and Mustafa Göçken
| Year of publication: |
2021
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|---|---|
| Authors: | Dosdoğru, Ayşe Tuğba ; İpek, Aslı Boru ; Göçken, Mustafa |
| Published in: |
International journal of logistics : research and applications. - London [u.a.] : Taylor & Francis, ISSN 1469-848X, ZDB-ID 2020197-7. - Vol. 24.2021, 3, p. 261-279
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| Subject: | Artificial intelligence | inventory routing problem | simulation optimisation | Supply chain management | Lieferkette | Supply chain | Künstliche Intelligenz | Simulation | Tourenplanung | Vehicle routing problem | Management-Informationssystem | Management information system | Durchlaufzeit | Lead time | Prognoseverfahren | Forecasting model | Lagerhaltungsmodell | Inventory model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/13675567.2020.1749249 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012515883