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

@article{Fruggiero2012AFM,
  title={A forecast model for pharmaceutical requirements based on an artificial neural network},
  author={Fabio Fruggiero and Raffaele Iannone and G. 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}
}
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… CONTINUE READING