Calculate the Exponential smoothing with trend component forecast (FIT) for second to the twenty -fifth month using an initial trend forecast (1 ) of 10 000, an initial exponential smoothing forecast (1 ) of 640 000 units, = 0.20, and = 0.30. (6)

2.3.3 Plot the actual demand, the simple exponential smoothing (SES) forecast, and trend-adjusted exponential smoothing (FIT) forecast on the same graph. Briefly comment on the observed difference(s) between the plots of the two forecasts.

C. Forecasting and other supply chain activities A recent report produced by Shop n Pay's chief demand planner has revealed that the retailer's reliance on simple exponential smoothing to forecast demand for its products is partly responsible for the significant bullwhip effect in the supply chain and the stock outs in the past few years. In this regard, the chief demand planner is recommending that exponential smoothing with trend adjustment (Holt's Model) should be used to forecast demand for aggregate planning for the 2020 fiscal year. Mr Msimanga has retrieved from the retailer's database the following information on number of goods sold over a two-year period. Year Monthly sales ('000 units) Feb Mar Apr May Jun Jul Aug Sep Oct Nov 2018 650 820 850 700 840 630 1050 750 2019 750 900 920 680 950 1080 742 920 820 Jan Dec 700 800 930 860 600 705 1100