A hybrid LSTM method for forecasting demands of medical items in humanitarian operations
Year of publication: |
2024
|
---|---|
Authors: | Hasni, Marwa ; Babai, M. Zied ; Rostami-Tabar, Bahman |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 17, p. 6046-6063
|
Subject: | bootstrapping methods | forecasting | inventory performance | Humanitarian operations | intermittent demand | machine learning | Prognoseverfahren | Forecasting model | Humanitäre Hilfe | Humanitarian aid | Nachfrage | Demand |
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