A data-driven hybrid scenario-based robust optimization method for relief logistics network design
Mohammad Amin Amani, Samuel Asumadu Sarkodie, Jiuh-Biing Sheu, Mohammad Mahdi Nasiri, Reza Tavakkoli-Moghaddam
| Year of publication: |
2025
|
|---|---|
| Authors: | Amani, Mohammad Amin ; Sarkodie, Samuel Asumadu ; Sheu, Jiuh Biing ; Nasiri, Mohammad Mahdi ; Tavakkoli-Moghaddam, Reza |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 194.2025, Art.-No. 103931, p. 1-28
|
| Subject: | Facility disruption | Humanitarian relief logistics | Intelligent disaster management | Machine learning | Robust optimization | Humanitäre Hilfe | Humanitarian aid | Logistik | Logistics | Künstliche Intelligenz | Artificial intelligence | Lieferkette | Supply chain | Robustes Verfahren | Robust statistics | Mathematische Optimierung | Mathematical programming | Tourenplanung | Vehicle routing problem | Katastrophe | Disaster |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2024.103931 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015449609