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The random variation that occurs in any time series is known as the ________ component.

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The double smoothing technique adds twice the forecast error to last period's actual demand to arrive at a forecast.

A) True
B) False

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Simple linear regression is used as a forecasting technique when there are multiple independent variables.

A) True
B) False

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A manufacturer of printers introduces a new product to the market and produces the product in its new manufacturing facility in Texas.When employees become familiar with producing a particular product and as newer products are introduced,the production of mature products is moved to partners in Mexico to accommodate production of the new product line.The manufacturer is using a practice called


A) channel management.
B) counterseasonal production.
C) product phasing.
D) product churn.

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

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In the context of demand management,the loss and replacement of customers is known as churn.

A) True
B) False

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In the forecasting process,the step of selecting a forecasting technique occurs before determining the time horizon for the forecast.

A) True
B) False

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The Delphi approach involves the use of a series of questionnaires to achieve a consensus forecast.

A) True
B) False

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In forecasting,what is the Mean Absolute Percent Error (MAPE) ?


A) It is the difference between the forecast and actual demand.
B) It is the average,absolute difference between the forecast and actual demand.
C) It is the absolute error as a percentage of demand.
D) It is the per-period average of cumulative error.

E) A) and B)
F) All of the above

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As per the bullwhip effect,which member of the supply chain will see the largest variation in demand along the supply chain?


A) Consumer
B) Retailer
C) Wholesaler
D) Manufacturer

E) C) and D)
F) A) and B)

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The Fresh Express Beverage Company is interested in evaluating the effects of advertising spend on the sales of their products.Based on historical data,they develop the following equation which approximates this relationship: y = 2.5 + 0.02x,where y is the number of bottles of beverages sold measured in millions of units,and x = amount of money spent on advertising measured in millions of dollars.Based on this information,which of the following statements is correct?


A) Every additional million dollars spent on advertising will increase the beverage sales by 200,000 units.
B) The Company will sell a minimum of 2.5 million units even if no money is spent on advertising.
C) Every additional 20,000 dollars spent on advertising will increase the beverage sales by a million units.
D) The number of units of beverage sold will decrease beyond a certain amount of money spent on advertising.

E) All of the above
F) B) and C)

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Demand that is calculated from a parent item is called ________.

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Variation patterns that are repetitive and occur at the same fixed time period are known as seasonal patterns.

A) True
B) False

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An assertion about the future whose outcome you have not yet seen is called a ________.

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The average rate of change in a time series data is known as ________.

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Which of the following is not a step in the forecasting process?


A) Identify the purpose for our forecast
B) Determine the time horizon for the forecast
C) Determine feasible capacity levels
D) Select a forecasting technique

E) All of the above
F) B) and D)

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Which forecasting method is commonly used by going to the market to get information for new product launches?


A) Delphi method
B) String method
C) Time series forecasting
D) Grassroots forecasting

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

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Which of the following practices is a form of demand management?


A) Hotels offering off-season discounts
B) A restaurant reducing capacity during the afternoon lean hours
C) Theatres pricing matinee shows at a lower price
D) All of the above
E) A and C only

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

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The act of removing seasonal variation from a time series to better estimate trend is known as ________.

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deseasonalizing a fo...

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For the current period,given an actual demand of 105,a forecasted value of 97,and an alpha of 0.4,the simple exponential smoothing forecast for the next period would be


A) 80.8
B) 93.8
C) 100.2
D) 108.2

E) A) and B)
F) A) and C)

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A smoothing constant of 0.2 will cause the exponential smoothing forecasting technique to react more quickly to a sudden change in historical demand as compared to using a smoothing constant value of 0.7.

A) True
B) False

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