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. © 2012 IEEE.

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

IANNONE, RAFFAELE;MARTINO, GIADA;MIRANDA, Salvatore;RIEMMA, Stefano
2012

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. © 2012 IEEE.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/3877410
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