Demand data for an interior decoration contractor is recorded in Table 3. Forecast the demand for month of October using the methods described by i-iv. (i) Naive. (ii) 3-period simple moving average. (iii) 4-period weighted moving average with weightage value of 0.4, 0.3 and 0.2 (highest value for the most recent period). It is a common understanding that the summation of weight factors shall equal to 1.

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Q3
(a)
Forecast the demand for month of October using the methods described by i-iv.
Demand data for an interior decoration contractor is recorded in Table 3.
(i) Naive.
(ii) 3-period simple moving average.
(iii) 4-period weighted moving average with weightage value of 0.4, 0.3 and
0.2 (highest value for the most recent period). It is a common
understanding that the summation of weight factors shall equal to 1.
(iv) Exponential smoothing with a = 0.3. Assume the forecast for month of
July is
1940
Table 3 : Demand Data
July
Jan
|980
Feb
|Mar April May June
| Sept
Aug
1100 1270 1325
1380
1870 1900
1679
1890
Transcribed Image Text:Q3 (a) Forecast the demand for month of October using the methods described by i-iv. Demand data for an interior decoration contractor is recorded in Table 3. (i) Naive. (ii) 3-period simple moving average. (iii) 4-period weighted moving average with weightage value of 0.4, 0.3 and 0.2 (highest value for the most recent period). It is a common understanding that the summation of weight factors shall equal to 1. (iv) Exponential smoothing with a = 0.3. Assume the forecast for month of July is 1940 Table 3 : Demand Data July Jan |980 Feb |Mar April May June | Sept Aug 1100 1270 1325 1380 1870 1900 1679 1890
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