End-to-end supply chain resilience management using deep learning, survival analysis, and explainable artificial intelligence
Xingyu Li, Vasiliy Krivtsov, Chaoye Pan, Aydin Nassehi, Robert X. Gao and Dmitry Ivanov
| Year of publication: |
2025
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|---|---|
| Authors: | Li, Xingyu ; Pan, Chaoye ; Nassehi, Aydin ; Gao, Robert X. ; Ivanov, Dmitry |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 63.2025, 3, p. 1174-1202
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| Subject: | Supply chain resilience | supply chain risk management | end-to-end learning | deep learning | survival analysis | explainable AI | Lieferkette | Supply chain | Risikomanagement | Risk management | Künstliche Intelligenz | Artificial intelligence | Lernende Organisation | Learning organization |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2024.2367685 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015198588