Towards Hybrid Machine Learning Models in Decision Support Systems for predicting the Spare Parts Reverse Flow in a Complex Supply Chain - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

Towards Hybrid Machine Learning Models in Decision Support Systems for predicting the Spare Parts Reverse Flow in a Complex Supply Chain

Domaines

Recherche opérationnelle [math.OC]

David Lemoine  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-02859937

Soumis le : lundi 8 juin 2020-10:28:35

Dernière modification le : mercredi 18 septembre 2024-03:09:38

Fichier non déposé

Dates et versions

hal-02859937 , version 1 (08-06-2020)

Identifiants

  • HAL Id : hal-02859937 , version 1

Citer

Hamza El Garrab, Bruno Castanier, David Lemoine, Adnane Lazrak, Robert Heidsieck. Towards Hybrid Machine Learning Models in Decision Support Systems for predicting the Spare Parts Reverse Flow in a Complex Supply Chain. Information system, Logistics & Supply Chain - ILS 2020, Apr 2020, Austin, United States. pp.188-195. ⟨hal-02859937⟩

Exporter

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UNIV-NANTES CNRS UNIV-ANGERS EC-NANTES UNAM TDS-MACS LS2N LS2N-SLP IMT-ATLANTIQUE LARIS LARIS-SFD NANTES-UNIVERSITE INSTITUT-MINES-TELECOM
210 Consultations
0 Téléchargements

Partager

More