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A forecasting and allocation model for vaccine resource demand

A forecasting and allocation model for vaccine resource demand The system employs the models of ARIMA and neural network, to forecast the relative demand for designated vaccines. The results generated by the two models are further used to estimate of annual workload and the amount of vaccine demand, so that the proper and reasonable demand and cost spent may be decided in making decision for preparation, budgeting and purchasing. The contribution of this research is providing a scientific and objective quantisation measurement of the return on investment to newly implementation of NIIS. Meanwhile, it can also be taken in making better decision for the further investment in this system. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business and Systems Research Inderscience Publishers

A forecasting and allocation model for vaccine resource demand

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1751-200X
eISSN
1751-2018
DOI
10.1504/IJBSR.2009.024861
Publisher site
See Article on Publisher Site

Abstract

The system employs the models of ARIMA and neural network, to forecast the relative demand for designated vaccines. The results generated by the two models are further used to estimate of annual workload and the amount of vaccine demand, so that the proper and reasonable demand and cost spent may be decided in making decision for preparation, budgeting and purchasing. The contribution of this research is providing a scientific and objective quantisation measurement of the return on investment to newly implementation of NIIS. Meanwhile, it can also be taken in making better decision for the further investment in this system.

Journal

International Journal of Business and Systems ResearchInderscience Publishers

Published: Jan 1, 2009

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