A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz, Fatma Betül Yeni, Gökhan Özçelik
| Year of publication: |
2025
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|---|---|
| Authors: | Yılmaz, Ömer Faruk ; Guan, Yongpei ; Yılmaz, Beren Gürsoy ; Yeni, Fatma Betul ; Özçelik, Gökhan |
| Published in: |
Omega : the international journal of management science. - Oxford [u.a.] : Elsevier, ISSN 1873-5274, ZDB-ID 1491111-5. - Vol. 133.2025, Art.-No. 103264, p. 1-28
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| Subject: | Machine learning | Contagion impact of disease | Kit allocation problem | Medical supply chain | Unified robust stochastic programming | Lieferkette | Supply chain | Künstliche Intelligenz | Artificial intelligence | Stochastischer Prozess | Stochastic process | Theorie | Theory | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.omega.2024.103264 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015407638