Disruption detection for a cognitive digital supply chain twin using hybrid deep learning
Mahmoud Ashraf, Amr Eltawil, Islam Ali
| Year of publication: |
2024
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|---|---|
| Authors: | Ashraf, Mahmoud ; Eltawil, Amr Bahgat ; Ali, Islam |
| Published in: |
Operational research : an international journal. - Berlin : Springer, ISSN 1866-1505, ZDB-ID 2425760-6. - Vol. 24.2024, 2, Art.-No. 23, p. 1-31
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| Subject: | Artificial Intelligence | Deep learning | Digital twin | Disruption detection | Machine learning | Supply chain management | Supply chain resilience | Künstliche Intelligenz | Artificial intelligence | Lieferkette | Supply chain | Digitalisierung | Digitization | Risikomanagement | Risk management | Lernende Organisation | Learning organization | Störungsmanagement | Disruption management |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12351-024-00831-y [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015135106