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ArticleReducing uncertainty in demand for blood

Sima M. Fortsch2016

Article2016

Reducing uncertainty in demand for blood

Sima M. Fortsch · Elena A. Khapalova

57 citations·0/0 files stored·Operations Research for Health Care

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Blood donation and transfusion practices Supply Chain and Inventory Management Forecasting Techniques and Applications

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References

1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root 1988Testing for a Unit Root in Time Series Regression 1978Time Series Analysis: Forecasting and Control.2008Introductory Econometrics for Finance 1971Time Series Analysis, Forecasting and Control.2000Supply Chain Management: Strategy, Planning and Operations 2003Supply Chain Management: Strategy, Planning, and Operation 2011Supply Chain Management of Blood Products: A Literature Review

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2019Population-based projections of blood supply and demand, China, 2017–2036 2021Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana 2017Artificial Neural Network Based Approach for Blood Demand Forecasting 2018Supply chain network competition among blood service organizations: a Generalized Nash Equilibrium framework 2020Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty

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Year2016

Typearticle

Published2016-04-21

VenueOperations Research for Health Care

ISSN-L2211-6923

Languageen

Citations57

Files0 public / 0

ShelfBlood donation and transfusion practices

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doi10.1016/j.orhc.2016.02.002

openalex_workW2340904647

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2017An appointment scheduling framework to balance the production of blood units from donation

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