Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains
Year of publication: |
2021
|
---|---|
Authors: | Belle, Jente van ; Guns, Tias ; Verbeke, Wouter |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 288.2021, 2 (16.1.), p. 466-479
|
Subject: | Forecasting | Bullwhip effect | Information sharing | Sell-through data | Machine Learning | Lieferkette | Supply chain | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Bullwhip-Effekt | Informationsverbreitung | Information dissemination | Prognose | Forecast |
-
Wang, Nengmin, (2016)
-
Public forecast information sharing in a market with competing supply chains
Shamir, Noam, (2016)
-
To select or to combine? : the inventory performance of model and expert forecasts
Wang, Xun, (2016)
- More ...
-
Verbeke, Wouter, (2023)
-
Improving forecast stability using deep learning
Belle, Jente van, (2023)
-
Coenen, Lize, (2022)
- More ...