Explainable Ensemble of Deep Learning Models for Improved and Interpretable Product Backorder Prediction

Accurate Backorder prediction plays a critical role in improving decision-making and enhancing the accuracy of the supply chain risk assessment. The application of deep learning (DL) models to inventory data provides a powerful framework for obtaining high predictive performance for this task. Never...

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Autors principals:	Waad Bouaguel, Mohamed Aymen Ben Hajkacem, Chiheb-Eddine Ben Ncir, Alaa Qaffas
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Supply chain backorder prediction eXplainable artificial intelligence (XAI) deep learning ensemble learning
Accés en línia:	https://ieeexplore.ieee.org/document/11538138/
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