Transfer function models refer to a statistical technique used in forecasting a variable over time. The technique is similar to regression analysis and is often referred to as dynamic regression analysis. Transfer Function Models are most often used as a relatively simple and effective time-series forecasting technique and is useful forecasting demand and capacity in logistic problems.