Enhancing supply chain resilience : RIME-clustering and ensemble deep learning strategies for late delivery risk prediction
Kaoutar Douaioui, Rachid Oucheikh, Charif Mabrouki
| Year of publication: |
2024
|
|---|---|
| Authors: | Douaioui, Kaoutar ; Oucheikh, Rachid ; Mabrouki, Charif |
| Published in: |
LogForum : elektroniczne czasopismo naukowe z dziedziny logistyki. - Poznan : Wyzsza Szkola Logistyki, ISSN 1734-459X, ZDB-ID 2212048-8. - Vol. 20.2024, 1, Art.-No. 5, p. 55-71
|
| Subject: | Artificial Neural Networks (ANNs) | Late Delivery Risk | Supply Chain Management | Clustering | Multiclassification | Deep Learning Models | RIME Optimization Algorithm | Lieferkette | Supply chain | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Risikomanagement | Risk management | Theorie | Theory | Algorithmus | Algorithm | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.17270/J.LOG.001007 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014520011