A Study Regarding the Possibility of Optimizing the Supply Batch Using Artificial Neural Networks
Emilia Ciupan · Procedia Engineering · 2014
This paper presents a study on the possibility of modelling an optimization problem of supply batch using artificial neural networks. The study has a statistical model of inventory management as starting point. Neural network modelling requires knowledge of historical data on supply volume large enough as to provide a good training of the network. There are some situations in which this data is known little, or not at all. In such cases it may be useful to imagine scenarios of the supply's evolution. This paper studies the possibility of modelling a supply activity in the event of such scenarios.