11. Using Data Set E1, what would be the forecast
for period 6 using a five period weighted moving average? The weights for each
period are 0.05, 0.10, 0.20, 0.30, and 0.35 from the oldest period to the most
recent period, respectively. (Choose the closest answer.)
|
a. |
16500 |
|
b. |
17825 |
|
c. |
14575 |
|
d. |
16275 |
12. Using
Data Set E1, what would be the forecast for period 6 using the exponential
smoothing method? Assume the forecast for period 5 is 14000. Use a smoothing
constant ofa = 0.4 (Choose the closest answer.)
|
a. |
14575 |
|
b. |
26100 |
|
c. |
16600 |
|
d. |
19700 |
13. Using
the actual demand shown in the table below, what is the forecast for May
(accurate to 1 decimal) using a 4-month weighted moving average and the weights
0.1, 0.2, 0.3, 0.4 (with the heaviest weight applied to the most recent
period)?
|
Nov. |
Dec. |
Jan. |
Feb. |
Mar. |
Apr. |
|
39 |
36 |
40 |
38 |
48 |
46 |
|
a. |
44.4 |
|
b. |
43.0 |
|
c. |
42.5 |
|
d. |
41.6 |
14. Given
the following information, calculate the forecast (accurate to 2 decimals) for
period three using exponential smoothing anda =
0.3.
|
Period |
Demand |
Forecast |
|
1 |
64 |
59 |
|
2 |
70 |
|
a. |
36.90 |
|
b. |
57.50 |
|
c. |
61.50 |
|
d. |
63.35 |
15. The
exponential smoothing forecast has the same value as the naïve forecast whena in the exponential smoothing model is equal to:
|
a. |
0 |
|
b. |
0.5 |
|
c. |
1 |
|
d. |
Insufficient information |
16. The
equation for a simple linear regression that saw sales averaging $225,000 over
the last ten periods, and advertising budgets averaging $3,000 over the last 10
periods is:
Y = 3250 + 120x
This indicates that a $1
increase in advertising will increase sales by:
|
a. |
$3370 |
|
b. |
$250 |
|
c. |
$120 |
|
d. |
$1875 |
17. One
common Cause-and-Effect Model used is:
|
a. |
Regression analysis |
|
b. |
Linear Trend Forecast |
|
c. |
Moving Average Forecast |
|
d. |
Mean Absolute Deviation |
18. Some
measures of forecasting accuracy include mean absolute deviation, mean absolute
percentage error, and mean squared error. The formula for each is dependent on
the forecast error, which is calculated by using the equation:
|
a. |
Actual demand for period t |
|
b. |
Actual demand for period t |
|
c. |
Actual demand for period t |
|
d. |
The average of Actual demand |
19. If
a tracking signal is positive, which one of the following is true?
|
a. |
Actual value is higher than |
|
b. |
Actual value is less than |
|
c. |
Actual value is equal to |
|
d. |
Unable to draw any conclusion |
Data Set E2
|
Month |
Actual |
Forecast |
|
1 |
10 |
11 |
|
2 |
8 |
10 |
|
3 |
9 |
8 |
|
4 |
6 |
6 |
|
5 |
7 |
8 |
20. A
forecasting method has produced the following data over the past 5 months shown
in Data Set E2. What is the mean absolute deviation (accurate to 2 decimals)?
|
a. |
-0.60 |
|
b. |
-1.20 |
|
c. |
1.00 |
|
d. |
1.25 |
21. Based
on the information in Data Set E2, what is the mean squared error (accurate to
2 decimals)?
|
a. |
7.00 |
|
b. |
1.40 |
|
c. |
1.00 |
|
d. |
0.80 |
22. What
does the acronym CPFR represent?
|
a. |
Coordinated planning and |
|
b. |
Collaborative planning, |
|
c. |
Centralized purchasing and |
|
d. |
Collaborative purchasing, |
23. According
to textbook, the top three challenges for CPFR implementation include all of
the following except:
|
a. |
Making organizational and |
|
b. |
Trust between supply chain |
|
c. |
Cost |
|
d. |
Supplier lead times |
24. According
to textbook, which of the following companies is a leading forecasting software
provider?
|
a. |
Just Enough |
|
b. |
SAS |
|
c. |
Business Forecast Systems, |
|
d. |
All of these |
25. According
to textbook, which of the following companies is recognized as a leader in CPFR
software solutions?
|
a. |
Autonomy |
|
b. |
Cloud software |
|
c. |
JDA software |
|
d. |
Transperion |
