A combined forecasting method for intermittent demand using the automotive aftermarket data
Year of publication: |
2022
|
---|---|
Authors: | Zhuang, Xiaotian ; Yu, Ying ; Chen, Aihui |
Published in: |
Data science and management : DSM. - [Amsterdam] : Elsevier B.V., ISSN 2666-7649, ZDB-ID 3108238-5. - Vol. 5.2022, 2, p. 43-56
|
Subject: | Combination forecasting | Intelligent supply chain management | Intermittent demand | Machine learning | Transfer learning | Prognoseverfahren | Forecasting model | Lieferkette | Supply chain | Nachfrage | Demand | Kfz-Industrie | Automotive industry |
-
Chiang, Chung-Yean, (2016)
-
Production planning using evolving demand forecasts in the automotive industry
Yildiz, Hakan, (2016)
-
iETS : state space model for intermittent demand forecasting
Svetunkov, Ivan, (2023)
- More ...
-
What drives content creation behavior on SNSs? A commitment perspective
Chen, Aihui, (2013)
-
Enhancing the Decision Quality through Learning from the Social Commerce Components
Lu, Yaobin, (2017)
-
Chen, Aihui, (2021)
- More ...