Deck 2: Forecasting demand

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Question
Using the following demand data, initialize and build a model to forecast the demand for June.When the first 3 months are used to initial a simple exponential smoothing model, what is the base value made at the end of month 2 or the initialized forecast for March?
 Month 12345 Demand 5025602080\begin{array} { | l | c | c | c | c | c | } \hline \text { Month } & 1 & 2 & 3 & 4 & 5 \\\hline \text { Demand } & 50 & 25 & 60 & 20 & 80 \\\hline\end{array}

A) 50
B) 37.5
C) 45
D) 25
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Question
John is trying to initialize the trend estimates for an exponential smoothing model with trends using the following demand data.He set the initialized trend estimate at the end of period 5 to __________.Complete the sentence correctly.
 Period 12345 Demands 5659536063\begin{array} { c c c c c c } \text { Period } & 1 & 2 & 3 & 4 & 5 \\\hline \text { Demands } & 56 & 59 & 53 & 60 & 63\end{array}

A) 3.14
B) 1.25
C) 1.75
D) 5.25
Question
Use an exponential smoothing model with trends to forecast for period 5.Select a correct demand forecast using the demand table below.
The base value at the end of period 1 is 300 while the tread is -50.The base value smoothing constant is 0.2 and the trend smoothing constant is 0.4.
 Period 234 Demand 250120130\begin{array} { | l | c | c | c | } \hline \text { Period } & 2 & 3 & 4 \\\hline \text { Demand } & 250 & 120 & 130 \\\hline\end{array}

A) 72
B) 115
C) 65
D) 210
Question
The conceptual forecasting framework does not exclude human judgments.When does the framework suggest these judgments should be used?

A) Right after Mathematical Model is generated
B) Before historical data is gathered
C) Right after historical data is gathered
D) Before the selection of a forecasting technique
Question
Identify the component of time series below in the table.
 Month 123456789101112 Actual 1201307010515257507080160 Demands \begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\\\text { Demands }\end{array}
1)Positive trend
2)Seasonality
3)Random
4)Negative trend

A) (1) and (2)
B) (2) and (4)
C) (2)
D) (3)
Question
The table below includes the actual demands and forecasted demand for each period.Based on the data, which of the following is not correct?
 Period 12345 Actual Demands 434470105 Forecast Demands 6050801545\begin{array} { c l l l l l } \text { Period } & 1 & 2 & 3 & 4 & 5 \\\hline \text { Actual Demands } & 43 & 44 & 70 & 10 & 5 \\\text { Forecast Demands } & 60 & 50 & 80 & 15 & 45\end{array}

A) The Bias value is -15.6
B) The demand data shows a positively increasing trend
C) The forecast is consistently overestimating the demands (higher forecasts)
D) The MAD value is 15.6
Question
The annual demand of the year 2010 is provided below.Find the forecasted demand for January, 2011.
Use a 3-month weighted moving average method.The weight ratio is 3:2:1 with the heaviest weight applied to the most current data.
 Month 123456789101112 Actual Demands 1201307010515257507080160\begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual Demands } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\end{array}

A) 93.04
B) 5.9
C) 20.22
D) 23.14
Question
John is trying to initialize the seasonality indexes for an exponential smoothing model with seasonality using the following demand data.Among his many decisions, one was to set the seasonality index for the ______ quarter to ______.Fill in the blanks correctly.
 Quarter 1234 Demand 40250190110\begin{array} { c c c c c } \text { Quarter } & 1 & 2 & 3 & 4 \\\hline \text { Demand } & 40 & 250 & 190 & 110\end{array}

A) 1st/0.545
B) 2nd/2.124
C) 4th/0.7457
D) 3rd/1.988
Question
The exponential smoothing model with trends uses 3 steps to generate forecasts.Among these steps, __________ can be described as updating the ________________.Fill in the blanks correctly.

A) Step 1/Trend estimate
B) Step 1/Base value
C) Step 2/Seasonality Index
D) Step 3/Trend estimate
Question
The Ticket touring agency is coming out with a new tour package.While this is a new product, it is expected to be received by customers in the same manner as with the Dynasty tour package.The table below is the last year's demand for the Dynasty tour package.Which of the following months should the agency provide the most capacity?
 Month 123456789101112 Actual Demands 1201307010515257507080160\begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual Demands } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\end{array}

A) December
B) October
C) May
D) March
Question
Forecasting drives all of the key business functions.Among the following cases, select the cases that are the least suited for the use of quantitative forecasting.
1)Demand of radically innovative new product
2)Supply of agricultural products
3)Demand of commodities
4)The rate of new product production

A) (1)
B) (1) and (2)
C) (2) and (4)
D) (4)
Question
Describe the Conceptual Forecasting Framework in your own words.
Question
Does the Conceptual Forecasting Framework only assume the use of Quantitative forecasting? Explain in your own words.
Question
Among the following choices, select the ones that are not examples of Qualitative Forecasting methods.
1)Delphi method
2)Exponential smoothing method
3)Triad method
4)Focus groups

A) (1) and (2)
B) (2) and (3)
C) (2), (3), and (4)
D) (1)
Question
The table below includes the actual demands and forecasted demand for each period.Which of the following is the correct Mean absolute deviation (MAD)value for this data?
 Period 12345 Actual Demands 1001201159079 Forecast Demands 9011013013590\begin{array}{cccccc}\text { Period }&1&2&3&4&5\\\hline \text { Actual Demands } & 100 & 120 & 115 & 90 & 79 \\\text { Forecast Demands } & 90 & 110 & 130 & 135 & 90\end{array}

A) 21.5
B) 18.2
C) 13.9
D) -10.2
Question
John is using an exponential smoothing model with seasonality.What is MAD value? The base value smoothing constant is 0.2 while the seasonality constant is 0.3.Use the first year to initialize the model.
 Quarter 12345678 Demand 4025019011069330320280\begin{array} { c c c c c c c c c } \text { Quarter } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\\hline \text { Demand } & 40 & 250 & 190 & 110 & 69 & 330 & 320 & 280\end{array}

A) 80.01
B) 67.72
C) 92.13
D) 103.76
Question
Forecasting framework illustrates the sequences that should be followed.According to the framework, what is next step once the forecast interval is established?

A) Collect and analyze data
B) Determine the forecast purpose
C) Select a forecasting technique
D) Initialize the forecast
Question
The table below includes the actual demands and forecasted demand for each period.Which of the following is the correct Bias value for this data?
The table below includes the actual demands and forecasted demand for each period.Which of the following is the correct Bias value for this data?  <div style=padding-top: 35px>
Question
Using a 3-month moving average forecast, what of the following is not correct based on the demand table below?
 Month 123456789101112 Actual Demands 1201307010515257507080160\begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual Demands } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\end{array}
1)The MAD value is 5.02
2)The forecast tends to overestimate the demands (higher forecasts)
3)The Bias value is -1.48
4)At least 5 months' worth of data is needed to initialize a forecast

A) (1) and (4)
B) (2)
C) (1), (2) and (4)
D) (4)
Question
For a forecast to be usable, it needs to pass criteria which include aspects such as _________ and ___________.Fill the blanks.

A) Simplicity/Completeness
B) Accuracy/Simplicity
C) Comprehensiveness/Accuracy
D) Flexibility /Accuracy
Question
List the forecasting model that can forecast several periods ahead the available data with only a relatively small loss in accuracy.
Question
Describe the meaning of model building using data in your own words.
Question
Build a forecast model using a simple exponential smoothing model with 2009 demand provided below.The exponential smoothing constant is 0.3.What is the bias for this model when the Forecast for January is set at 24?
Build a forecast model using a simple exponential smoothing model with 2009 demand provided below.The exponential smoothing constant is 0.3.What is the bias for this model when the Forecast for January is set at 24?  <div style=padding-top: 35px>
Question
When generating the forecast for year 3 season 2 using an exponential smoothing model with seasonality, which seasonality index is subject to updating?
Question
Interpret a bias of -40 in a sentence.
Question
Define in one sentence what a time series is.
Question
Provide a detailed description of the demand in the table below.
Provide a detailed description of the demand in the table below.  <div style=padding-top: 35px>
Question
John is trying to initialize the seasonality indexes for an exponential smoothing model with seasonality.What is the forecast for quarter 9? The base value smoothing constant is 0.2 while the seasonality constant is 0.3.Use the first year to initialize the model.
John is trying to initialize the seasonality indexes for an exponential smoothing model with seasonality.What is the forecast for quarter 9? The base value smoothing constant is 0.2 while the seasonality constant is 0.3.Use the first year to initialize the model.  <div style=padding-top: 35px>
Question
Dave is use an exponential smoothing model with trends to forecast for period 5.After gathering the data, he is trying to make a decision regarding the constants.Currently, base value smoothing constant is 0.3 and the trend smoothing constant is 0.2.What is the bias difference if Dave decides to decrease the base value smoothing constant to 0.1?
The base value at the end of period 1 is 300 while the tread is -50.
Dave is use an exponential smoothing model with trends to forecast for period 5.After gathering the data, he is trying to make a decision regarding the constants.Currently, base value smoothing constant is 0.3 and the trend smoothing constant is 0.2.What is the bias difference if Dave decides to decrease the base value smoothing constant to 0.1? The base value at the end of period 1 is 300 while the tread is -50.  <div style=padding-top: 35px>
Question
What is the difference between bias and MAD?
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Deck 2: Forecasting demand
1
Using the following demand data, initialize and build a model to forecast the demand for June.When the first 3 months are used to initial a simple exponential smoothing model, what is the base value made at the end of month 2 or the initialized forecast for March?
 Month 12345 Demand 5025602080\begin{array} { | l | c | c | c | c | c | } \hline \text { Month } & 1 & 2 & 3 & 4 & 5 \\\hline \text { Demand } & 50 & 25 & 60 & 20 & 80 \\\hline\end{array}

A) 50
B) 37.5
C) 45
D) 25
45
2
John is trying to initialize the trend estimates for an exponential smoothing model with trends using the following demand data.He set the initialized trend estimate at the end of period 5 to __________.Complete the sentence correctly.
 Period 12345 Demands 5659536063\begin{array} { c c c c c c } \text { Period } & 1 & 2 & 3 & 4 & 5 \\\hline \text { Demands } & 56 & 59 & 53 & 60 & 63\end{array}

A) 3.14
B) 1.25
C) 1.75
D) 5.25
1.75
3
Use an exponential smoothing model with trends to forecast for period 5.Select a correct demand forecast using the demand table below.
The base value at the end of period 1 is 300 while the tread is -50.The base value smoothing constant is 0.2 and the trend smoothing constant is 0.4.
 Period 234 Demand 250120130\begin{array} { | l | c | c | c | } \hline \text { Period } & 2 & 3 & 4 \\\hline \text { Demand } & 250 & 120 & 130 \\\hline\end{array}

A) 72
B) 115
C) 65
D) 210
72
4
The conceptual forecasting framework does not exclude human judgments.When does the framework suggest these judgments should be used?

A) Right after Mathematical Model is generated
B) Before historical data is gathered
C) Right after historical data is gathered
D) Before the selection of a forecasting technique
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5
Identify the component of time series below in the table.
 Month 123456789101112 Actual 1201307010515257507080160 Demands \begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\\\text { Demands }\end{array}
1)Positive trend
2)Seasonality
3)Random
4)Negative trend

A) (1) and (2)
B) (2) and (4)
C) (2)
D) (3)
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6
The table below includes the actual demands and forecasted demand for each period.Based on the data, which of the following is not correct?
 Period 12345 Actual Demands 434470105 Forecast Demands 6050801545\begin{array} { c l l l l l } \text { Period } & 1 & 2 & 3 & 4 & 5 \\\hline \text { Actual Demands } & 43 & 44 & 70 & 10 & 5 \\\text { Forecast Demands } & 60 & 50 & 80 & 15 & 45\end{array}

A) The Bias value is -15.6
B) The demand data shows a positively increasing trend
C) The forecast is consistently overestimating the demands (higher forecasts)
D) The MAD value is 15.6
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7
The annual demand of the year 2010 is provided below.Find the forecasted demand for January, 2011.
Use a 3-month weighted moving average method.The weight ratio is 3:2:1 with the heaviest weight applied to the most current data.
 Month 123456789101112 Actual Demands 1201307010515257507080160\begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual Demands } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\end{array}

A) 93.04
B) 5.9
C) 20.22
D) 23.14
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8
John is trying to initialize the seasonality indexes for an exponential smoothing model with seasonality using the following demand data.Among his many decisions, one was to set the seasonality index for the ______ quarter to ______.Fill in the blanks correctly.
 Quarter 1234 Demand 40250190110\begin{array} { c c c c c } \text { Quarter } & 1 & 2 & 3 & 4 \\\hline \text { Demand } & 40 & 250 & 190 & 110\end{array}

A) 1st/0.545
B) 2nd/2.124
C) 4th/0.7457
D) 3rd/1.988
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9
The exponential smoothing model with trends uses 3 steps to generate forecasts.Among these steps, __________ can be described as updating the ________________.Fill in the blanks correctly.

A) Step 1/Trend estimate
B) Step 1/Base value
C) Step 2/Seasonality Index
D) Step 3/Trend estimate
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10
The Ticket touring agency is coming out with a new tour package.While this is a new product, it is expected to be received by customers in the same manner as with the Dynasty tour package.The table below is the last year's demand for the Dynasty tour package.Which of the following months should the agency provide the most capacity?
 Month 123456789101112 Actual Demands 1201307010515257507080160\begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual Demands } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\end{array}

A) December
B) October
C) May
D) March
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11
Forecasting drives all of the key business functions.Among the following cases, select the cases that are the least suited for the use of quantitative forecasting.
1)Demand of radically innovative new product
2)Supply of agricultural products
3)Demand of commodities
4)The rate of new product production

A) (1)
B) (1) and (2)
C) (2) and (4)
D) (4)
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12
Describe the Conceptual Forecasting Framework in your own words.
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13
Does the Conceptual Forecasting Framework only assume the use of Quantitative forecasting? Explain in your own words.
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14
Among the following choices, select the ones that are not examples of Qualitative Forecasting methods.
1)Delphi method
2)Exponential smoothing method
3)Triad method
4)Focus groups

A) (1) and (2)
B) (2) and (3)
C) (2), (3), and (4)
D) (1)
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15
The table below includes the actual demands and forecasted demand for each period.Which of the following is the correct Mean absolute deviation (MAD)value for this data?
 Period 12345 Actual Demands 1001201159079 Forecast Demands 9011013013590\begin{array}{cccccc}\text { Period }&1&2&3&4&5\\\hline \text { Actual Demands } & 100 & 120 & 115 & 90 & 79 \\\text { Forecast Demands } & 90 & 110 & 130 & 135 & 90\end{array}

A) 21.5
B) 18.2
C) 13.9
D) -10.2
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16
John is using an exponential smoothing model with seasonality.What is MAD value? The base value smoothing constant is 0.2 while the seasonality constant is 0.3.Use the first year to initialize the model.
 Quarter 12345678 Demand 4025019011069330320280\begin{array} { c c c c c c c c c } \text { Quarter } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\\hline \text { Demand } & 40 & 250 & 190 & 110 & 69 & 330 & 320 & 280\end{array}

A) 80.01
B) 67.72
C) 92.13
D) 103.76
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17
Forecasting framework illustrates the sequences that should be followed.According to the framework, what is next step once the forecast interval is established?

A) Collect and analyze data
B) Determine the forecast purpose
C) Select a forecasting technique
D) Initialize the forecast
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18
The table below includes the actual demands and forecasted demand for each period.Which of the following is the correct Bias value for this data?
The table below includes the actual demands and forecasted demand for each period.Which of the following is the correct Bias value for this data?
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19
Using a 3-month moving average forecast, what of the following is not correct based on the demand table below?
 Month 123456789101112 Actual Demands 1201307010515257507080160\begin{array} { c l l l l l l l l l l l l } \text { Month } & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 \\\hline \text { Actual Demands } & 120 & 130 & 70 & 10 & 5 & 15 & 25 & 7 & 50 & 70 & 80 & 160\end{array}
1)The MAD value is 5.02
2)The forecast tends to overestimate the demands (higher forecasts)
3)The Bias value is -1.48
4)At least 5 months' worth of data is needed to initialize a forecast

A) (1) and (4)
B) (2)
C) (1), (2) and (4)
D) (4)
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20
For a forecast to be usable, it needs to pass criteria which include aspects such as _________ and ___________.Fill the blanks.

A) Simplicity/Completeness
B) Accuracy/Simplicity
C) Comprehensiveness/Accuracy
D) Flexibility /Accuracy
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21
List the forecasting model that can forecast several periods ahead the available data with only a relatively small loss in accuracy.
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22
Describe the meaning of model building using data in your own words.
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23
Build a forecast model using a simple exponential smoothing model with 2009 demand provided below.The exponential smoothing constant is 0.3.What is the bias for this model when the Forecast for January is set at 24?
Build a forecast model using a simple exponential smoothing model with 2009 demand provided below.The exponential smoothing constant is 0.3.What is the bias for this model when the Forecast for January is set at 24?
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24
When generating the forecast for year 3 season 2 using an exponential smoothing model with seasonality, which seasonality index is subject to updating?
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25
Interpret a bias of -40 in a sentence.
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26
Define in one sentence what a time series is.
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27
Provide a detailed description of the demand in the table below.
Provide a detailed description of the demand in the table below.
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28
John is trying to initialize the seasonality indexes for an exponential smoothing model with seasonality.What is the forecast for quarter 9? The base value smoothing constant is 0.2 while the seasonality constant is 0.3.Use the first year to initialize the model.
John is trying to initialize the seasonality indexes for an exponential smoothing model with seasonality.What is the forecast for quarter 9? The base value smoothing constant is 0.2 while the seasonality constant is 0.3.Use the first year to initialize the model.
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29
Dave is use an exponential smoothing model with trends to forecast for period 5.After gathering the data, he is trying to make a decision regarding the constants.Currently, base value smoothing constant is 0.3 and the trend smoothing constant is 0.2.What is the bias difference if Dave decides to decrease the base value smoothing constant to 0.1?
The base value at the end of period 1 is 300 while the tread is -50.
Dave is use an exponential smoothing model with trends to forecast for period 5.After gathering the data, he is trying to make a decision regarding the constants.Currently, base value smoothing constant is 0.3 and the trend smoothing constant is 0.2.What is the bias difference if Dave decides to decrease the base value smoothing constant to 0.1? The base value at the end of period 1 is 300 while the tread is -50.
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30
What is the difference between bias and MAD?
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