Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering
Corey Ducharme, Bruno Agard, Martin Trépanier
| Year of publication: |
2024
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|---|---|
| Authors: | Ducharme, Corey ; Agard, Bruno ; Trépanier, Martin |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 43.2024, 5, p. 1661-1681
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| Subject: | demand forecasting | Industry 4.0 | intermittent demand | multivariate time series clustering | supervised learning | supply chain forecasting | Lieferkette | Supply chain | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Lagerhaltungsmodell | Inventory model | Zeitreihenanalyse | Time series analysis |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.3095 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015108428