Effective demand forecasting in health supply chains : emerging trend, enablers, and blockers
Year of publication: |
2021
|
---|---|
Authors: | Subramanian, Lakshmy |
Published in: |
Logistics. - Basel : MDPI AG, ISSN 2305-6290, ZDB-ID 2908937-2. - Vol. 5.2021, 1/12, p. 1-21
|
Subject: | demand forecasting | emerging trends | global health | health supply chains | risk allocation | Lieferkette | Supply chain | Gesundheit | Health | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Risikomanagement | Risk management | Prognose | Forecast | Gesundheitswesen | Health care system |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/logistics5010012 [DOI] hdl:10419/310136 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Forecasting supply chain sporadic demand with nearest neighbor approaches
Nikolopoulos, Konstantinos, (2016)
-
Forecasting of compound Erlang demand
Syntetos, Aris A., (2015)
-
Mechanisms to induce buyer forecasting : do suppliers always benefit from better forecasting?
Thunyarat Amornpetchkul, (2015)
- More ...
-
Effective demand forecasting in health supply chains: Emerging trend, enablers, and blockers
Subramanian, Lakshmy, (2021)
-
Trade liberalization and economic growth
Quartey, Peter, (2024)
-
Multilateral development banks : contributions and challenges
Abor, Joshua Yindenaba, (2024)
- More ...