chapter-1-introduction-to-supply-chain-management-10

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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
provided to determine answer

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
divided by the forecasted demand for period t

b.

Actual demand for period t
plus the forecasted demand for period t

c.

Actual demand for period t
minus the forecasted demand for period t

d.

The average of Actual demand
for period t and forecasted demand for period t

19. If
a tracking signal is positive, which one of the following is true?

a.

Actual value is higher than
forecast

b.

Actual value is less than
forecast

c.

Actual value is equal to
forecast

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
forecasting relationships

b.

Collaborative planning,
forecasting, and replenishment

c.

Centralized purchasing and
forecasting relationships

d.

Collaborative purchasing,
forecasting, and receivables

23. According
to textbook, the top three challenges for CPFR implementation include all of
the following except:

a.

Making organizational and
procedural changes

b.

Trust between supply chain
partners

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,
Inc.

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

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