Exhibit 2. The past demand data shown below can be regarded as having a horizontal pattern.
Month |
Demand |
January |
40 |
February |
45 |
March |
50 |
April |
37 |
1. Refer to Exhibit 2. What is the forecast for May found by the three-month moving average method?
a. |
45 |
b. |
50 |
c. |
37 |
d. |
44 |
ANS:D (45+50+37)/3
2. Refer to Exhibit 2. What is the error of the forecast for April found by the three-month moving average method?
a. |
0 |
b. |
-8 |
c. |
8 |
d. |
-5 |
ANS:B
3. Refer to Exhibit 2. What is the forecast for March found by the exponential smoothing method with a smoothing constant of 0.2?
a. |
50.0 |
b. |
40.0 |
c. |
41.0 |
d. |
42.8 |
ANS:C
4. Refer to Exhibit 2. What is the absolute percentage error of the forecast for March found by the exponential smoothing method with a smoothing constant of 0.2?
a. |
-18% |
b. |
18% |
c. |
-9% |
d. |
2% |
ANS:B
((Explain the answers))
Month | Demand |
January | 40 |
February | 45 |
March | 50 |
April | 37 |
1. Three month movie average is found by finding the average of three value before that month
So Forecast of may = (45+50+37)/3 = 44
Answer D.
2. Forecast of March = (40+ 45 +50)/3 = 45
Error= Demand- forecast = 37- 45 = -8
Answer B.
3. Exponential smoothing formula:
where, Ft is the forecast value and At is actual value or demand. And =0.2
Month | Demand | Exponential Smoothing |
Jan | 40 | 40(Assume equal to actual value) |
Feb | 45 | = 40+ 0.2(40-40) = 40 |
March | 50 | = 40 +0.2(45-40) = 41 |
April | 37 | = 41 + 0.2(50-41) = 42.8 |
Forecast for may using exponential smoothing = 41
Answer C
4.
Answer B
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