3 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. (1) Naive. (i) 3-period simple moving average. (ii) 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 1600 + 2(L3D). Table 3: Demand Data July 1380 1500+L3D Jan Mar April May June Feb 1100 1270 1325 Aug 1530 Sept 1560 980 1550 +2(L3D) +2(L3D) +2(L3D)

Elements Of Electromagnetics
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Author:Sadiku, Matthew N. O.
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Important instruction: This question uses the last three-digit value (L3D) of individual student matrix number. For example, if the matrix number is CD180264 then the L3D value is 264 (since the last three digits is 264). Some data require multiplication of the L3D value, for examAdditional instruction: These questions use the last three-digit value (L3D) of individual student matrix number. Example, if the matrix number is CD180264 then the L3D value is 264 (since the last three digits is 264). Some data require multiplication of the L3D value, for example 10(L3D) means 10 x L3D.ple 10(L3D) means 10 x L3D.

 

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3
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.
(1) Naive.
(i) 3-period simple moving average.
(ii) 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 1600 + 2(L3D).
Table 3: Demand Data
July
1380 1500+L3D
Jan
Mar April May June
Feb
1100 1270 1325
Aug
1530
Sept
1560
980
1550
+2(L3D)
+2(L3D)
+2(L3D)
Transcribed Image Text:3 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. (1) Naive. (i) 3-period simple moving average. (ii) 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 1600 + 2(L3D). Table 3: Demand Data July 1380 1500+L3D Jan Mar April May June Feb 1100 1270 1325 Aug 1530 Sept 1560 980 1550 +2(L3D) +2(L3D) +2(L3D)
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