Abstract:
This paper discusses the combination of forecasting methods and linear programming
to make a decision. Both of the methods are used to predict the sales of bakery
products and to determine the best and most efficient product combinations. The
forecasting methods used are moving average and exponential smoothing. Then a
comparison is carried out for both forecasting methods to select the best forecasting
method using minimum mean square error. Next the best forecasting results are
used as constraint functions in linear programming.
