Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry : a support vector machine model
Peng Jiang, Yibin Huang and Xiao Liu
| Year of publication: |
2021
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|---|---|
| Authors: | Jiang, Peng ; Huang, Yibin ; Liu, Xiao |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 59.2021, 24, p. 7423-7440
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| Subject: | Forecasting | heavy-duty vehicle | intermittent demand | inventory Performance | spare parts | support vector machine | Ersatzteil | Spare parts | Mustererkennung | Pattern recognition | Prognoseverfahren | Forecasting model | Lagerhaltungsmodell | Inventory model | Nachfrage | Demand | Lieferkette | Supply chain | Lagermanagement | Warehouse management |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2020.1842936 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012697535