Deck 8: Forecasting

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سؤال
MAD is:

A) period average demand * deseasonalized demand
B) the number of observations/the sum of absolute deviations
C) the sum of absolute deviations * the number of observations
D) the sum of absolute deviations/number of observations
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سؤال
What factors influence the demand for a firm's products and services?
سؤال
A product that is seasonally based on quarterly demand and the demand for the past three years is given below. There is no trend but there is seasonality. Average quarterly demand is 100 units. Calculate the seasonal index for the four quarters. A product that is seasonally based on quarterly demand and the demand for the past three years is given below. There is no trend but there is seasonality. Average quarterly demand is 100 units. Calculate the seasonal index for the four quarters.  <div style=padding-top: 35px>
سؤال
What is the purpose of a tracking signal?
سؤال
The old forecast for May was 220 and the actual demand for May was 190. If alpha a) is 0.15, calculate the forecast for June. If June demand turns out to be 218, calculate the forecast for July.
سؤال
The formula for the seasonal index is:

A) period average demand * deseasonalized demand
B) average demand for all periods/ period average demand
C) period average demand * average demand for all periods
D) period average demand/average demand for all periods
سؤال
Exponential smoothing:

A) will detect trends
B) will lag demand
C) will lead demand and detect trends
D) will detect trends but lag demand
سؤال
Forecast error must be measured before it can be used to:

A) help in planning
B) revise the forecast
C) both A and B
D) neither A nor B
سؤال
To guard against inherent error in forecasting:

A) make more accurate predictions
B) include safety stock
C) include "just in case" inventory
D) all of the above
سؤال
_________forecasting is most useful in forecasting the total demand for a firm's products or the demand for families of products.

A) Historical
B) Intrinsic
C) Qualitative
D) Extrinsic
سؤال
Demand over the past three months has been 120, 135 and 114 units. Use a three- month moving average to calculate the forecast for the fourth month.
سؤال
Demand over the past six months has been 156, 158, 295, 156, 141, and 274. Use a two- month average to forecast demand for the seventh month.
سؤال
Bias:

A) occurs when actual demand is consistently below the forecast demand
B) is a systematic error
C) occurs when actual demand is consistently above the forecast demand
D) all of the above
سؤال
Discuss the major characteristics or principles of forecasting.
سؤال
The forecast is 100 units a week. The actual demand for the past six weeks has been 105, 110, 103, 105, 107, and 115. If MAD is 7.5, calculate the sum of the forecast error and the tracking signal.
سؤال
Discuss the major classifications of forecasting methods.
سؤال
When attempting to forecast the demand for a new product,

A) market research might be used.
B) historical analogy might be used.
C) there is no history on which to base a forecast.
D) all of the above.
سؤال
_________is the difference between actual demand and forecast demand.

A) Tracking
B) Forecast error
C) Bias
D) Random variation
سؤال
What are the major activities of demand management?
سؤال
Moving averages are best used for:

A) forecasting products with stable demand
B) forecasting products where there is little seasonality
C) forecasting products where there is little trend
D) all of the above
سؤال
Housing starts and gasoline consumption are called economic indicators.
سؤال
Forecasts are never wrong.
سؤال
One simple way to forecast is to take the average demand for the last three or six periods and use that figure as the forecast for the next period.
سؤال
Artificial bumps in demand can be caused by sales promotions, price changes, changes in the weather, or a strike at a competitor's factory.
سؤال
The strategic business plan is not concerned with overall markets or the direction of the economy.
سؤال
Intrinsic forecasting techniques do not use historical data for forecasting.
سؤال
The shapes of the demand patterns for some products or services change over time where as others do not.
سؤال
In the long run, demand management is needed for items and is associated with master production scheduling.
سؤال
If historical data for demand are plotted against a time scale, they will show any shapes or consistent patterns that exist.
سؤال
Firms that make standard products do not need to have saleable goods immediately available.
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ملء الشاشة (f)
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Deck 8: Forecasting
1
MAD is:

A) period average demand * deseasonalized demand
B) the number of observations/the sum of absolute deviations
C) the sum of absolute deviations * the number of observations
D) the sum of absolute deviations/number of observations
D
2
What factors influence the demand for a firm's products and services?
Some of the major factors which influence the demand for a firm's products are services are: general business and economic conditions, competitive factors, market trends such as changing demand, and the firm's own plans for advertising,k promotion, pricing, and product change.
3
A product that is seasonally based on quarterly demand and the demand for the past three years is given below. There is no trend but there is seasonality. Average quarterly demand is 100 units. Calculate the seasonal index for the four quarters. A product that is seasonally based on quarterly demand and the demand for the past three years is given below. There is no trend but there is seasonality. Average quarterly demand is 100 units. Calculate the seasonal index for the four quarters.
Q1 128/100 = 1.28
Q2 102/100 = 1.02 Q3 75/100 = 0.75 Q4 95/100 = 0.95
Total of the seasonal indices = 4.0
4
What is the purpose of a tracking signal?
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5
The old forecast for May was 220 and the actual demand for May was 190. If alpha a) is 0.15, calculate the forecast for June. If June demand turns out to be 218, calculate the forecast for July.
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6
The formula for the seasonal index is:

A) period average demand * deseasonalized demand
B) average demand for all periods/ period average demand
C) period average demand * average demand for all periods
D) period average demand/average demand for all periods
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7
Exponential smoothing:

A) will detect trends
B) will lag demand
C) will lead demand and detect trends
D) will detect trends but lag demand
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8
Forecast error must be measured before it can be used to:

A) help in planning
B) revise the forecast
C) both A and B
D) neither A nor B
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9
To guard against inherent error in forecasting:

A) make more accurate predictions
B) include safety stock
C) include "just in case" inventory
D) all of the above
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10
_________forecasting is most useful in forecasting the total demand for a firm's products or the demand for families of products.

A) Historical
B) Intrinsic
C) Qualitative
D) Extrinsic
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11
Demand over the past three months has been 120, 135 and 114 units. Use a three- month moving average to calculate the forecast for the fourth month.
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12
Demand over the past six months has been 156, 158, 295, 156, 141, and 274. Use a two- month average to forecast demand for the seventh month.
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13
Bias:

A) occurs when actual demand is consistently below the forecast demand
B) is a systematic error
C) occurs when actual demand is consistently above the forecast demand
D) all of the above
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14
Discuss the major characteristics or principles of forecasting.
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15
The forecast is 100 units a week. The actual demand for the past six weeks has been 105, 110, 103, 105, 107, and 115. If MAD is 7.5, calculate the sum of the forecast error and the tracking signal.
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16
Discuss the major classifications of forecasting methods.
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17
When attempting to forecast the demand for a new product,

A) market research might be used.
B) historical analogy might be used.
C) there is no history on which to base a forecast.
D) all of the above.
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18
_________is the difference between actual demand and forecast demand.

A) Tracking
B) Forecast error
C) Bias
D) Random variation
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19
What are the major activities of demand management?
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20
Moving averages are best used for:

A) forecasting products with stable demand
B) forecasting products where there is little seasonality
C) forecasting products where there is little trend
D) all of the above
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21
Housing starts and gasoline consumption are called economic indicators.
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22
Forecasts are never wrong.
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23
One simple way to forecast is to take the average demand for the last three or six periods and use that figure as the forecast for the next period.
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24
Artificial bumps in demand can be caused by sales promotions, price changes, changes in the weather, or a strike at a competitor's factory.
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25
The strategic business plan is not concerned with overall markets or the direction of the economy.
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26
Intrinsic forecasting techniques do not use historical data for forecasting.
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27
The shapes of the demand patterns for some products or services change over time where as others do not.
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28
In the long run, demand management is needed for items and is associated with master production scheduling.
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29
If historical data for demand are plotted against a time scale, they will show any shapes or consistent patterns that exist.
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30
Firms that make standard products do not need to have saleable goods immediately available.
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