Scenario: Ajax Manufacturing is an electronic test equipment manufacturing firm
ID: 3203866 • Letter: S
Question
Scenario: Ajax Manufacturing is an electronic test equipment manufacturing firm that markets a certain piece of specialty test equipment. Ajax has several competitors who currently market similar pieces of equipment. While customers have repeatedly indicated they prefer Ajax’s test equipment, they have historically proven to be unwilling to wait for Ajax to manufacture this certain piece of equipment on demand and will purchase their test equipment from Ajax’s competitors in the event Ajax does not have the equipment available in inventory for immediate delivery. Thus, the key to Ajax successfully maintaining market share for this particular piece of equipment has been to have it available in stock for immediate delivery. Unfortunately, it is a rather expensive piece of equipment to maintain in inventory.
Period
Actual Number of Sold Units
Period
Actual Number of Sold Units
1
33
16
38
2
36
17
37
3
32
18
39
4
35
19
37
5
33
20
35
6
36
21
37
7
34
22
34
8
38
23
35
9
37
24
36
10
36
25
36
11
38
26
32
12
38
27
35
13
37
28
33
14
39
29
38
15
35
30
39
31
? Forecast ?
Model 1: Answer the following questions. Question 1. Calculate the projected demand for the test equipment for the time periods 4 - 31 based upon a 3-month moving average forecast model. What is the projected demand for period 31? (5 points)
Question 2. Calculate the mean absolute deviation (MAD) for the 3-month moving average forecast for each of the time periods 4 through 30 and for the model. (5 points)
Question 3. Calculate the mean squared error (MSE) for the 3-month moving average forecast for time periods 4 through 30 and for the model. (5 points)
Question 4. Calculate the mean absolute percent error (MAPE) for the 3-month moving average forecast for time periods 4 through 30 and for the model. (5 points) Question 5. Calculate the Standard Error for the model. (5 points)
Question 6. Calculate the Bias for the model. (5 points)
Model 2: Answer the following questions.
Question 7: Calculate the projected demand for the test equipment for the time periods 4 - 31 based upon a 3-month moving average forecast model for which the weighting factor for actual demand one month ago is 3, the weighting factor for actual demand two months ago is 2, and the weighting factor for actual demand three months ago is 1. What is the projected demand for period 31?? (5 points)
Question 8: Calculate the mean absolute deviation (MAD) for the 3-month weighted moving average forecast for each of the time periods 4 through 30 and for the model. (5 points)
Question 9: Calculate the mean squared error (MSE) for the 3-month weighted moving average forecast for time periods 4 through 30 and for the model. (5 points) Question 10: Calculate the mean absolute percent error (MAPE) for the 3-month weighted moving average forecast for time periods 4 through 30 and for the model. (5 points)
Question 11: Calculate the Standard Error for the model. (5 points)
Question 12: Calculate the Bias for the model. (5 points) Model 3: Answer the following questions.
Question 13: Calculate the projected demand for the test equipment for the time periods 1 - 31 based upon using an exponential smoothing forecast model for which alpha = 0.25. Assume the Forecast is equal to the Demand for period 1. What is the projected demand for period 31? (5 points)
Question 14: Calculate the mean absolute deviation (MAD) for the exponential smoothing forecast for each of the time periods 1 through 30 and for the model. (5 points)
Question 15: Calculate the mean squared error (MSE) for the exponential smoothing forecast for time periods 1 through 30 and for the model. (5 points)
Question 16: Calculate the mean absolute percent error (MAPE) for the exponential smoothing forecast for time periods 1 through 30 and for the model. (5 points) Question 17: Calculate the Standard Error for the model. (5 points)
Question 18: Calculate the Bias for the model. (5 points) Model 4: Answer the following questions.
Question 19: Calculate the projected demand for the test equipment for the time periods 1 - 31 based upon using a Regression forecast model. What is the projected demand for period 31? (5 points)
Question 20: Calculate the mean absolute deviation (MAD) for the Regression forecast for each of the time periods 1 through 30 and for the model. (5 points)
Question 21: Calculate the mean squared error (MSE) for the Regression forecast for time periods 1 through 30 and for the model. (5 points)
Question 22: Calculate the mean absolute percent error (MAPE) for the Regression forecast for time periods 1 through 30 and for the model. (5 points)
Question 23: Calculate the Standard Error for the model. (5 points)
Question 24: Calculate the Bias for the model. (5 points)
Question 25: Discuss the correlation between the two variables and is the relationship significant at the 95% level of confidence? (5 points)
Period
Actual Number of Sold Units
Period
Actual Number of Sold Units
1
33
16
38
2
36
17
37
3
32
18
39
4
35
19
37
5
33
20
35
6
36
21
37
7
34
22
34
8
38
23
35
9
37
24
36
10
36
25
36
11
38
26
32
12
38
27
35
13
37
28
33
14
39
29
38
15
35
30
39
31
? Forecast ?
Explanation / Answer
a)
Projected demand = 35.86 + 0.06 * 25
= 37.39
b)
MAD = sum(abs( Actual no of units sold - predicted value ) )/ n
= 40.15 / 24
= 1.67
MSE = sum(MAD^2) / 24
= 6.05
MAPE = sum((MAD / Actual no of unit sold)/24) * 100
= 0.04
Regression Statistics Multiple R 0.169956632 R Square 0.028885257 Adjusted R Square -0.015256323 Standard Error 2.569957936 Observations 24Related Questions
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