Designing a resilient humanitarian supply chain by considering viability under uncertainty : a machine learning embedded approach
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz
| Year of publication: |
2025
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|---|---|
| Authors: | Yılmaz, Ömer Faruk ; Guan, Yongpei ; Gürsoy Yılmaz, Beren |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 194.2025, Art.-No. 103943, p. 1-24
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| Subject: | Genetic algorithm | Humanitarian supply chain | Machine learning | Resilience | Stochastic programming | Viability | Lieferkette | Supply chain | Künstliche Intelligenz | Artificial intelligence | Humanitäre Hilfe | Humanitarian aid | Evolutionärer Algorithmus | Evolutionary algorithm | Coping-Strategie | Coping strategy | Risikomanagement | Risk management | Mathematische Optimierung | Mathematical programming | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2024.103943 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015449717