Predicting solutions of large-scale optimization problems via machine learning : a case study in blood supply chain management
Babak Abbasi, Toktam Babaei, Zahra Hosseinifard, Kate Smith-Miles, Maryam Dehghani
| Year of publication: |
2020
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| Authors: | Abbasi, Babak ; Babaei, Toktam ; Hosseinifard, Zahra ; Smith-Miles, Kate ; Dehghani, Maryam |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 119.2020, p. 1-20
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| Subject: | Blood supply chain | CART | Data mining | k-NN | Large-Scale optimization | Machine learning | Neural networks | Perishable inventory management | Künstliche Intelligenz | Artificial intelligence | Lieferkette | Supply chain | Neuronale Netze | Blutspendedienst | Blood service | Data Mining | Bestandsmanagement | Inventory management | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2020.104941 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012236824