A machine learning-based system for predicting service-level failures in supply chains
Year of publication: |
2021
|
---|---|
Authors: | Melançon, Gabrielle Gauthier ; Grangier, Philippe ; Prescott-Gagnon, Eric ; Sabourin, Emmanuel ; Rousseau, Louis-Martin |
Published in: |
INFORMS journal on applied analytics. - Catonsville, Md. : INFORMS, ISSN 2644-0865, ZDB-ID 2967741-5. - Vol. 51.2021, 3, p. 200-212
|
Subject: | supply chain management | manufacturing | machine learning | human-computer interface | explainable AI | Lieferkette | Supply chain | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model |
-
Supply chain agility : an imperative in an unpredictable world
Leung, Terence, (2021)
-
A machine learning approach for predicting hidden links in supply chain with graph neural networks
Kosasih, Edward Elson, (2022)
-
Forecasting sales in the supply chain based on the LSTM network : the case of furniture industry
Pliszczuk, Damian, (2021)
- More ...
-
European Driver Rules in Vehicle Routing with Time Windows
Prescott-Gagnon, Eric, (2010)
-
European driver rules in vehicle routing with time windows
Prescott-Gagnon, Eric, (2010)
-
Grangier, Philippe, (2016)
- More ...