Question 1

Given the following information,the forecast for period two using exponential smoothing and $\alpha$ = 0.3 is 61.5. 
$\begin{array}{ccc}
\text { Period } & \text { Demand } & \text { Forecast } \
\hline 1 & 64 & 59 \
2 & 70 &
\end{array}$

Accepted Answer

A) True 
 B)False

Question 2

Examples of forecasting accuracy measures are Mean Absolute Deviation,Mean Absolute Percentage Error,and Mean Square Error.

Accepted Answer

A) True 
 B)False

Question 3

Trends representing either increasing or decreasing movements over many years due to factors such as population growth,population shifts,cultural changes and income shifts are a component of a time series called "Random Variations".

Accepted Answer

A) True 
 B)False

Question 4

The following are all common qualitative forecasting models EXCEPT:

Accepted Answer

A) Jury of Executive Opinion 
B) Trend Variation 
C) Delphi Method 
D) Sales Force Composite 
A) Jury of Executive Opinion 
B) Trend Variation 
C) Delphi Method 
D) Sales Force Composite

Question 5

List and describe two types of qualitative forecasting methods.

Accepted Answer

​a.Jury of Executive Opinion: This type

Question 6

One of the goals of an effective CPFR system is to minimize the negative impacts of the bullwhip effect on supply chains.

Accepted Answer

A) True 
 B)False

Question 7

Some important steps involved in implementation of a CPFR process model include,seeking long-term holistic solutions,creating clear accountabilities,and reducing decision cycle time.

Accepted Answer

A) True 
 B)False

Question 8

If a tracking signal is positive,which one of the following is true?

Accepted Answer

A) Actual value is higher than forecast 
B) Actual value is less than forecast 
C) Actual value is equal to forecast 
D) Unable to draw any conclusion 
A) Actual value is higher than forecast 
B) Actual value is less than forecast 
C) Actual value is equal to forecast 
D) Unable to draw any conclusion

Question 9

One common Cause-and-Effect Model used is:

Accepted Answer

A) Regression analysis 
B) Linear Trend Forecast 
C) Moving Average Forecast 
D) Mean Absolute Deviation 
A) Regression analysis 
B) Linear Trend Forecast 
C) Moving Average Forecast 
D) Mean Absolute Deviation

Question 10

What is a tracking signal? How can managers use the information provided by the tracking signal to improve the quality of forecasts?

Accepted Answer

Tracking signal is used to determine if

Question 11

The true value of CPFR comes from the sophisticated forecasting algorithms that provide companies with highly accurate forecasts,not from the exchange of forecasting information.

Accepted Answer

A) True 
 B)False

Question 12

Using the actual demand shown in the table below,what is the forecast for May (accurate to 1 decimal)using a 4-month weighted moving average and the weights 0.1,0.2,0.3,0.4 (with the heaviest weight applied to the most recent period)? $\begin{array}{llllll}
\text { Nov. } & \text { Dec. } & \text { Jan. } & \text { Feb. } & \text { Mar. } & \text { Apr. } \
\hline 39 & 36 & 40 & 38 & 48 & 46
\end{array}$

Accepted Answer

A) 44.4 
B) 43.0 
C) 42.5 
D) 41.6 
A) 44.4 
B) 43.0 
C) 42.5 
D) 41.6

Given the following information,the forecast for period two using exponential smoothing and $\alpha$ = 0.3 is 61.5. Period Demand Forecast 1 64 59 2 70

Examples of forecasting accuracy measures are Mean Absolute Deviation,Mean Absolute Percentage Error,and Mean Square Error.

Trends representing either increasing or decreasing movements over many years due to factors such as population growth,population shifts,cultural changes and income shifts are a component of a time series called "Random Variations".

The following are all common qualitative forecasting models EXCEPT:

List and describe two types of qualitative forecasting methods.

One of the goals of an effective CPFR system is to minimize the negative impacts of the bullwhip effect on supply chains.

Some important steps involved in implementation of a CPFR process model include,seeking long-term holistic solutions,creating clear accountabilities,and reducing decision cycle time.

If a tracking signal is positive,which one of the following is true?

One common Cause-and-Effect Model used is:

What is a tracking signal? How can managers use the information provided by the tracking signal to improve the quality of forecasts?

The true value of CPFR comes from the sophisticated forecasting algorithms that provide companies with highly accurate forecasts,not from the exchange of forecasting information.

Using the actual demand shown in the table below,what is the forecast for May (accurate to 1 decimal)using a 4-month weighted moving average and the weights 0.1,0.2,0.3,0.4 (with the heaviest weight applied to the most recent period)? Nov. Dec. Jan. Feb. Mar. Apr. 39 36 40 38 48 46

Introduction to Supply Chain Management

Purchasing Management

Creating and Managing Supplier Relationship

Ethical and Sustainable Sourcing

Resource Planning Systems

Inventory Management

Process Management - Lean and Six Sigma in the Supply Chain

Domestic Usand Global Logistics

Customer Relationship Management

Global Location Decisions

Service Response Logistics

Supply Chain Process Integration

Performance Measurement Along the Supply Chain

Filters

Exam 5: Demand Forecasting

Given the following information,the forecast for period two using exponential smoothing and α\alphaα = 0.3 is 61.5. Period Demand Forecast 1 64 59 2 70

Examples of forecasting accuracy measures are Mean Absolute Deviation,Mean Absolute Percentage Error,and Mean Square Error.

Trends representing either increasing or decreasing movements over many years due to factors such as population growth,population shifts,cultural changes and income shifts are a component of a time series called "Random Variations".

The following are all common qualitative forecasting models EXCEPT:

List and describe two types of qualitative forecasting methods.

One of the goals of an effective CPFR system is to minimize the negative impacts of the bullwhip effect on supply chains.

Some important steps involved in implementation of a CPFR process model include,seeking long-term holistic solutions,creating clear accountabilities,and reducing decision cycle time.

If a tracking signal is positive,which one of the following is true?

One common Cause-and-Effect Model used is:

What is a tracking signal? How can managers use the information provided by the tracking signal to improve the quality of forecasts?

The true value of CPFR comes from the sophisticated forecasting algorithms that provide companies with highly accurate forecasts,not from the exchange of forecasting information.

Using the actual demand shown in the table below,what is the forecast for May (accurate to 1 decimal)using a 4-month weighted moving average and the weights 0.1,0.2,0.3,0.4 (with the heaviest weight applied to the most recent period)? Nov. Dec. Jan. Feb. Mar. Apr. 39 36 40 38 48 46

Introduction to Supply Chain Management

Purchasing Management

Creating and Managing Supplier Relationship

Ethical and Sustainable Sourcing

Resource Planning Systems

Inventory Management

Process Management - Lean and Six Sigma in the Supply Chain

Domestic Usand Global Logistics

Customer Relationship Management

Global Location Decisions

Service Response Logistics

Supply Chain Process Integration

Performance Measurement Along the Supply Chain

Filters

Given the following information,the forecast for period two using exponential smoothing and $\alpha$ = 0.3 is 61.5. Period Demand Forecast 1 64 59 2 70