A forecast model for pharmaceutical requirements based on an artificial neural network

Abstract

This research introduces a support tool for the demand forecast management of local pharmacies. It is based on the forecast of the requirements obtained through the implementation of a Radial Basis Function (RBF) neural network. Having an accurate forecast allows you to reduce the average level of stock and consequently the costs of warehousing and space needed for storage.

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Cite this paper

@article{Fruggiero2012AFM, title={A forecast model for pharmaceutical requirements based on an artificial neural network}, author={Fabio Fruggiero and Raffaele Iannone and Giada Martino and Salvatore Miranda and Stefano Riemma}, journal={Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics}, year={2012}, pages={263-268} }