Computer Services assembles customized personal computers from generic parts. The company has had steady growth since it started. The company assembles computers mostly at night, using part time students. The company purchase generic computer parts in volume at a discount from a variety of sources whenever they see a good deal. Thus, they need a good forecast of demand for their computers so that they will know how many computer component parts to purchase and stock.

The company has accumulated the demand data in the table below for its computers for the past twelve months, from which it wants to consider exponential smoothing forecasts using smoothing constant equal to 0.30.

Compute for the accuracy of its forecast using MAD?

What is its Mean Absolute Percent Deviation (MAPD)?

The company wants to develop an adjusted exponentially smoothed forecast using the same twelve months of demand. It will use the exponentially smoothed forecast with constant = 0.5 and with a smoothing constant trend of 0.30. What is the forecast in January next year?

Period	Month	DEMAND	FORECAST	IDt - FtI	Trend	AF
1	January	200
2	February	212
3	March	214
4	April	222
5	May	236
6	June	221
7	July	240
8	August	244
9	September	250
10	October	266
11	November	269
12	December	273
13	January