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Which of the following changes would tend to shorten the time frame for short term forecasting?


A) bringing greater variety into the product mix
B) increasing the flexibility of the production system
C) ordering fewer weather-sensitive items
D) adding more special-purpose equipment
E) none of the above

F) A) and E)
G) C) and D)

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Forecasts help managers plan both the system itself and provide valuable information for using the system.

A) True
B) False

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Forecasts based on judgment and opinion don't include


A) executive opinion
B) salesperson opinion
C) second opinions
D) customer surveys
E) Delphi methods

F) A) and B)
G) A) and E)

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What is the forecast for this year using the naive approach?


A) 163
B) 180
C) 300
D) 420
E) 510

F) All of the above
G) A) and C)

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What is the forecast for this year using trend adjusted (double) smoothing with alpha = 0.3 and beta = 0.2, if the forecast for last year was 310, the forecast for two years ago was 430, and the trend estimate for last year's forecast was -150?


A) 162.4
B) 180.3
C) 301.4
D) 403.2
E) 510.0

F) A) and E)
G) A) and D)

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For the data given below, what would the naive forecast be for the next period (period #5) ? For the data given below, what would the naive forecast be for the next period (period #5) ?   A) 58 B) 62 C) 59.5 D) 61 E) cannot tell from the data given


A) 58
B) 62
C) 59.5
D) 61
E) cannot tell from the data given

F) A) and D)
G) A) and C)

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Detecting non-randomness in errors can be done using:


A) MSEs
B) MAPs
C) Control Charts
D) Correlation Coefficients
E) Strategies

F) B) and D)
G) A) and B)

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Forecasting techniques such as moving averages, exponential smoothing, and the naive approach all represent smoothed (averaged) values of time series data.

A) True
B) False

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The shorter the forecast period, the more accurately the forecasts tend to track what actually happens.

A) True
B) False

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What is this week's forecast using a three-week simple moving average?


A) 49
B) 50
C) 52
D) 65
E) 78

F) A) and E)
G) A) and B)

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Seasonal relatives can be used to de-seasonalize data or incorporate seasonality in a forecast.

A) True
B) False

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The two most important factors in choosing a forecasting technique are:


A) cost and time horizon
B) accuracy and time horizon
C) cost and accuracy
D) quantity and quality
E) objective and subjective components

F) C) and D)
G) A) and E)

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What is this year's forecast using the naive approach?


A) 2,000
B) 2,200
C) 2,800
D) 3,000
E) none of the above

F) C) and D)
G) A) and B)

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A seasonal relative (or seasonal indexes) is expressed as a percentage of average or trend.

A) True
B) False

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Forecasts for groups of items tend to be less accurate than forecasts for individual items because forecasts for individual items don't include as many influencing factors.

A) True
B) False

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A proactive approach to forecasting views forecasts as probable descriptions of future demand, and requires action to be taken to meet that demand.

A) True
B) False

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Current information on _________ can have a significant impact on forecast accuracy:


A) prices
B) promotion
C) inventory
D) competition
E) all of the above

F) A) and D)
G) A) and C)

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Forecasts based on an average tend to exhibit less variability than the original data.

A) True
B) False

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What is this year's forecast using a four-year simple moving average?

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What is this year's forecast using the naive approach?

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