Tomás Maqueda
In this work we study the distribution of cash among the branches of a bank in Argentina. We explore models for demand forecasting, concluding that the best estimator is the daily requirement made by branch managers, who resort to their specific knowledge in order to forecast the demand.
We present a quadratic integer programming model for optimizing the costs of cash distribution. An analysis on historical data shows that the application of this model provides an important benefit for the bank.
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