Demand forecasting accuracy in the pharmaceutical supply chain : a machine learning approach
Luh Putu Eka Yani and Ammar Aamer
| Year of publication: |
2023
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|---|---|
| Authors: | Yani, Luh Putu Eka ; Aamer, Ammar |
| Published in: |
International journal of pharmaceutical and healthcare marketing. - Bradford : Emerald, ISSN 1750-6131, ZDB-ID 2280280-0. - Vol. 17.2023, 1, p. 1-23
|
| Subject: | Demand forecasting | Disruption | Machine learning | Pharmaceuticals | Supply chain management | Künstliche Intelligenz | Artificial intelligence | Lieferkette | Supply chain | Pharmaindustrie | Pharmaceutical industry | Prognoseverfahren | Forecasting model | Arzneimittel | Nachfrage | Demand |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/IJPHM-05-2021-0056 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014336870