a) Qualitative forecasting approach is used for a short term
forecasting period, where adequate historical data are not
available, whereas Quantitative forecasting approach is used when
there is an adequate amount of historical data and forecast is for
longer period.
Though quantitative techniques are better than qualitative
techniques, but in some cases it cannot be used when historical
data are not available. Also, quantitative techniques cannot be
used in non numeric data like opinions, performance, judgements.
Hence, the better option is to both use quantitative and
qualitative techniques together to predict the best future.
b) A bad forecast results in mismatch of demand and supply.
There can be two scenarios - Supply Increases Demand and Demand
Increases Supply.
In the first case, inventory needs to be stored and disposed off at
latter periods. Accordingly, the production of the product for the
next period have to be adjusted. On the other hand, if there is
still demand for the residual product, it can be sold off at
discounted price.
In the second case, there is no inventory and the demand is high.
Production of the product must be increased in the period as well
as the next period. If there is a high demand of the product, it
can be sold at a higher price.
a) Which type of forecasting approach, qualitative or quantitative, is better? Discuss, explain and justify your...
Weekly sales of the Weber Dicamatic food processor for the past ten weeks have been: Week Sales Week Sales 1 980 6 990 2 1040 7 1030 3 1120 8 1260 4 1050 9 1240 5 960 10 1100 Determine, on the basis of minimizing the mean square error, whether a three-period or four-period simple moving average model gives a better forecast for this problem.