Question 1

The resulting accuracy of a collaborative forecast enables supply chains to be

Accepted Answer

A) more responsive but less efficient in serving their customers. 
B) both more responsive and more efficient in serving their customers. 
C) less responsive but less efficient in serving their customers. 
D) both less responsive and less efficient in serving their customers. 
A) more responsive but less efficient in serving their customers. 
B) both more responsive and more efficient in serving their customers. 
C) less responsive but less efficient in serving their customers. 
D) both less responsive and less efficient in serving their customers.

Question 2

Qualitative forecasting methods are most appropriate when

Accepted Answer

A) there is good historical data available. 
B) there is little historical data available. 
C) experts do not have critical market intelligence. 
D) forecasting demand into the near future. 
A) there is good historical data available. 
B) there is little historical data available. 
C) experts do not have critical market intelligence. 
D) forecasting demand into the near future.

Question 3

Forecasting and the accompanying managerial decisions are extremely difficult when either the supply of raw materials or the demand for the finished product is highly variable.

Accepted Answer

A) True 
 B)False

Question 4

Causal forecasting methods find a correlation between demand and environmental factors and use estimates of what environmental factors will be to forecast future demand.

Accepted Answer

A) True 
 B)False

Question 5

When all stages of a supply chain produce a collaborative forecast,it tends to be

Accepted Answer

A) much more detailed. 
B) much more complex. 
C) much more accurate. 
D) much more flexible. 
A) much more detailed. 
B) much more complex. 
C) much more accurate. 
D) much more flexible.

Question 6

The result of each stage in the supply chain making its own separate forecast is

Accepted Answer

A) an accurate forecast. 
B) a more accurate forecast. 
C) a match between supply and demand. 
D) a mismatch between supply and demand. 
A) an accurate forecast. 
B) a more accurate forecast. 
C) a match between supply and demand. 
D) a mismatch between supply and demand.

Question 7

Describe the basic characteristics of forecasts that managers should be aware of.

Accepted Answer

Companies and supply chain managers shou

Question 8

Leaders in many supply chains have started moving toward collaborative forecasting to improve their ability to match supply and demand.

Accepted Answer

A) True 
 B)False

Question 9

Time series forecasting methods are the most difficult methods to implement.

Accepted Answer

A) True 
 B)False

Question 10

The additive form of the systematic component of demand is shown as

Accepted Answer

A) level × trend × seasonal factor. 
B) level + trend + seasonal factor. 
C) (level + trend)× seasonal factor. 
D) level × (trend + seasonal factor). 
A) level × trend × seasonal factor. 
B) level + trend + seasonal factor. 
C) (level + trend)× seasonal factor. 
D) level × (trend + seasonal factor).

Question 11

Forecasts should include both the expected value of the forecast and a measure of forecast error.

Accepted Answer

A) True 
 B)False

Question 12

Use Solver to determine the alpha that minimizes the MAD for the exponential smoothing forecast for the data that appear in this table.Use the actual demand of period 1 as the forecast for period 2 and then use the forecasts for periods 2 through 9 to calculate MAD. $$\begin{array} { | c | c | } 
\hline \text { Period } & \text { Demand } \
\hline 1 & 272 \
\hline 2 & 278 \
\hline 3 & 269 \
\hline 4 & 280 \
\hline 5 & 267 \
\hline 6 & 258 \
\hline 7 & 278 \
\hline 8 & 298 \
\hline 9 & 286 \
\hline 10 & 290 \
\hline
\end{array}$$

Accepted Answer

A) 0.36 
B) 0.43 
C) 0.54 
D) 0.62 
A) 0.36 
B) 0.43 
C) 0.54 
D) 0.62

Question 13

Scenario 7.5 - Gulab Greatness
Historical demand for gulab jamun from a sweet stall on Commercial Road is as displayed in the table.
 $$\begin{array} { | c | c | } 
\hline \text { Month } & \begin{array} { c } 
\text { Demand } \
\text { (orders) }
\end{array} \
\hline \text { January } & 66,753 \
\hline \text { February } & 67,686 \
\hline \text { March } & 68,641 \
\hline \text { April } & 68,979 \
\hline \text { May } & 69,278 \
\hline \text { June } & 69,577 \
\hline \text { July } & 69,602 \
\hline \text { August } & 70,348 \
\hline \text { September } & 70,806 \
\hline \text { October } & 71,011 \
\hline \text { November } & 71,819 \
\hline \text { December } & 72,752 \
\hline
\end{array}$$
-Use a simple moving average of three periods to forecast the demand for October.Then use exponential smoothing with an alpha = 0.4 to forecast October,assuming an August forecast equal to August demand.Finally,use Holt's method with an alpha of 0.2 and a beta of 0.3.

Accepted Answer

Moving average = 70,

Question 14

One of the characteristics of forecasts is

Accepted Answer

A) aggregate forecasts are usually more accurate than disaggregate forecasts. 
B) disaggregate forecasts are usually more accurate than aggregate forecasts. 
C) short-term forecasts are usually less accurate than long-term forecasts. 
D) long-term forecasts are usually more accurate than short-term forecasts. 
A) aggregate forecasts are usually more accurate than disaggregate forecasts. 
B) disaggregate forecasts are usually more accurate than aggregate forecasts. 
C) short-term forecasts are usually less accurate than long-term forecasts. 
D) long-term forecasts are usually more accurate than short-term forecasts.

Question 15

The measure of forecast error where the amount of error of each forecast is squared and then an average is calculated is

Accepted Answer

A) mean squared error (MS
E) . 
B) mean absolute deviation (MA
D) . 
C) mean absolute percentage error (MAP
E) . 
D) the tracking signal. 
A) mean squared error (MS
E) . 
B) mean absolute deviation (MA
D) . 
C) mean absolute percentage error (MAP
E) . 
D) the tracking signal.

Question 16

Production can utilize forecasts to make decisions concerning

Accepted Answer

A) scheduling. 
B) sales-force allocation. 
C) promotions. 
D) hiring decisions. 
A) scheduling. 
B) sales-force allocation. 
C) promotions. 
D) hiring decisions.

Question 17

Scenario 7.3
The Entrepreneurship professor had a habit of oversupplying extra credit opportunities for his class each semester and his colleagues delighted in trying to forecast his class enrollment from one semester to the next.The forecasts for one colleague,along with the actual class enrollment,appear in the table.
 $$\begin{array} { | c | c | c | } 
\hline \text { Period } & \text { Actual } & \text { Forecast } \
\hline 1 & 173 & 166.7 \
\hline 2 & 177 & 183 \
\hline 3 & 180 & 174.7 \
\hline 4 & 151 & 163.2 \
\hline 5 & 168 & 155.6 \
\hline 6 & 184 & 187.6 \
\hline 7 & 198 & 192.9 \
\hline 8 & 191 & 194.6 \
\hline 9 & 167 & 149.8 \
\hline 10 & 177 & 195.2 \
\hline
\end{array}$$
-Calculate the MSE for this scenario.

Accepted Answer

A) 106.60 
B) 119.80 
C) 108.54 
D) 112.20 
A) 106.60 
B) 119.80 
C) 108.54 
D) 112.20

Question 18

What is the trend component of Holt's model for period 0?

Accepted Answer

A) 642 
B) 66,768 
C) 462 
D) 78,666 
A) 642 
B) 66,768 
C) 462 
D) 78,666

Question 19

Scenario 7.6
 $\begin{array}{|c|c|}
\hline \text { Period } & \text { Demand } \
\hline 1 & 173 \
\hline 2 & 177 \
\hline 3 & 180 \
\hline 4 & 151 \
\hline 5 & 168 \
\hline 6 & 184 \
\hline 7 & 198 \
\hline 8 & 191 \
\hline 9 & 167 \
\hline 10 & 177 \
\hline
\end{array}$
-Develop a forecast for this data using simple exponential smoothing with an alpha of 0.66.Then calculate MAD,MSE and the tracking signal.

Accepted Answer

The forecast,forecast error,absolute dev

Question 20

Scenario 7.1 - Marshmallow Madness
Historical demand for Peeps is as displayed in the table.
 $\begin{array}{|l|c|}
\hline \text { Month } & \text { Demand } \
\hline \text { January } & 11 \
\hline \text { February } & 18 \
\hline \text { March } & 31 \
\hline \text { April } & 39 \
\hline \text { May } & 44 \
\hline \text { June } & 53 \
\hline \text { July } & 67 \
\hline \text { August } & 82 \
\hline \text { September } & 96 \
\hline
\end{array}$
-Use exponential smoothing to forecast the demand for March.What is the forecast if α = 0.7?

Accepted Answer

A) 17.58 
B) 18.26 
C) 18.74 
D) 19.32 
A) 17.58 
B) 18.26 
C) 18.74 
D) 19.32

The resulting accuracy of a collaborative forecast enables supply chains to be

Qualitative forecasting methods are most appropriate when

Forecasting and the accompanying managerial decisions are extremely difficult when either the supply of raw materials or the demand for the finished product is highly variable.

Causal forecasting methods find a correlation between demand and environmental factors and use estimates of what environmental factors will be to forecast future demand.

When all stages of a supply chain produce a collaborative forecast,it tends to be

The result of each stage in the supply chain making its own separate forecast is

Describe the basic characteristics of forecasts that managers should be aware of.

Leaders in many supply chains have started moving toward collaborative forecasting to improve their ability to match supply and demand.

Time series forecasting methods are the most difficult methods to implement.

The additive form of the systematic component of demand is shown as

Forecasts should include both the expected value of the forecast and a measure of forecast error.

One of the characteristics of forecasts is

The measure of forecast error where the amount of error of each forecast is squared and then an average is calculated is

Production can utilize forecasts to make decisions concerning

What is the trend component of Holt's model for period 0?

Scenario 7.6 Period Demand 1 173 2 177 3 180 4 151 5 168 6 184 7 198 8 191 9 167 10 177 -Develop a forecast for this data using simple exponential smoothing with an alpha of 0.66.Then calculate MAD,MSE and the tracking signal.

Scenario 7.1 - Marshmallow Madness Historical demand for Peeps is as displayed in the table. Month Demand January 11 February 18 March 31 April 39 May 44 June 53 July 67 August 82 September 96 -Use exponential smoothing to forecast the demand for March.What is the forecast if α = 0.7?

Understanding the Supply Chain

Achieving Strategic Fit in a Supply Chain

Supply Chain Drivers and Metrics

Designing Distribution Networks and Applications to E-Business

Network Design in the Supply Chain

Designing Global Supply Chain Networks

Aggregate Planning in a Supply Chain

Sales and Operations Planning: Planning Supply and Demand

Coordination in a Supply Chain

Managing Economies of Scale in a Supply Chain: Cycle Inventory

Managing Uncertainty in a Supply Chain: Safety Inventory

Linking Product Availability to Profits

Transportation in a Supply Chain

Sourcing Decisions in a Supply Chain

Pricing and Revenue Management in a Supply Chain

Sustainability and the Supply Chain

Filters

Exam 7: Demand Forecasting in a Supply Chain

The resulting accuracy of a collaborative forecast enables supply chains to be

Qualitative forecasting methods are most appropriate when

Forecasting and the accompanying managerial decisions are extremely difficult when either the supply of raw materials or the demand for the finished product is highly variable.

Causal forecasting methods find a correlation between demand and environmental factors and use estimates of what environmental factors will be to forecast future demand.

When all stages of a supply chain produce a collaborative forecast,it tends to be

The result of each stage in the supply chain making its own separate forecast is

Describe the basic characteristics of forecasts that managers should be aware of.

Leaders in many supply chains have started moving toward collaborative forecasting to improve their ability to match supply and demand.

Time series forecasting methods are the most difficult methods to implement.

The additive form of the systematic component of demand is shown as

Forecasts should include both the expected value of the forecast and a measure of forecast error.

One of the characteristics of forecasts is

The measure of forecast error where the amount of error of each forecast is squared and then an average is calculated is

Production can utilize forecasts to make decisions concerning

What is the trend component of Holt's model for period 0?

Scenario 7.6 Period Demand 1 173 2 177 3 180 4 151 5 168 6 184 7 198 8 191 9 167 10 177 -Develop a forecast for this data using simple exponential smoothing with an alpha of 0.66.Then calculate MAD,MSE and the tracking signal.

Scenario 7.1 - Marshmallow Madness Historical demand for Peeps is as displayed in the table. Month Demand January 11 February 18 March 31 April 39 May 44 June 53 July 67 August 82 September 96 -Use exponential smoothing to forecast the demand for March.What is the forecast if α = 0.7?

Understanding the Supply Chain

Achieving Strategic Fit in a Supply Chain

Supply Chain Drivers and Metrics

Designing Distribution Networks and Applications to E-Business

Network Design in the Supply Chain

Designing Global Supply Chain Networks

Aggregate Planning in a Supply Chain

Sales and Operations Planning: Planning Supply and Demand

Coordination in a Supply Chain

Managing Economies of Scale in a Supply Chain: Cycle Inventory

Managing Uncertainty in a Supply Chain: Safety Inventory

Linking Product Availability to Profits

Transportation in a Supply Chain

Sourcing Decisions in a Supply Chain

Pricing and Revenue Management in a Supply Chain

Sustainability and the Supply Chain

Filters