Question 1

Long-range (two-to five-year)forecasts typically require the most accuracy because they are used for general (or aggregate)planning,

Accepted Answer

A) True 
 B)False

Question 2

Which of the following is not a causal quantitative forecasting method?

Accepted Answer

A) Multiple regression 
B) Exponential smoothing 
C) Econometric 
D) Box-Jenkins 
E) All of them are causal quantitative forecasting methods 
A) Multiple regression 
B) Exponential smoothing 
C) Econometric 
D) Box-Jenkins 
E) All of them are causal quantitative forecasting methods

Question 3

One approach that is gaining increasing acceptance to help coordinate the joint planning of supply chain partners is which of the following?

Accepted Answer

A) CRAFT 
B) CRP 
C) Demand management 
D) CPFR 
E) Vendor-managed inventories 
A) CRAFT 
B) CRP 
C) Demand management 
D) CPFR 
E) Vendor-managed inventories

Question 4

Simple linear regression has how many independent variables?

Accepted Answer

A) Zero 
B) One 
C) Two 
D) More than two 
E) Different models have different numbers 
A) Zero 
B) One 
C) Two 
D) More than two 
E) Different models have different numbers

Question 5

Some of the most significant decisions made by organizations,frequently strategic decisions,are made on the basis of quantitative forecasts.

Accepted Answer

A) True 
 B)False

Question 6

A cycle can be defined as a short-term oscillation,or a swing of the data points about the trend line over a period of at least three months.

Accepted Answer

A) True 
 B)False

Question 7

Which of the following is not a component of time series data.

Accepted Answer

A) Trend 
B) Seasonal variation 
C) Irregular events 
D) Cyclical variation 
E) Random variation 
A) Trend 
B) Seasonal variation 
C) Irregular events 
D) Cyclical variation 
E) Random variation

Question 8

Which of the following is not an assumption of regression?

Accepted Answer

A) The residuals are normally distributed 
B) The expected value of the residuals is one 
C) The residuals are independent of one another 
D) The variance of the residuals is constant 
E) All of them are assumptions of regression 
A) The residuals are normally distributed 
B) The expected value of the residuals is one 
C) The residuals are independent of one another 
D) The variance of the residuals is constant 
E) All of them are assumptions of regression

Question 9

Informal forecasting methods include both quantitative and qualitative techniques.

Accepted Answer

A) True 
 B)False

Question 10

What does bias tell about the accuracy of a forecasting model?

Accepted Answer

Bias indicates wheth

Question 11

Briefly discuss the assumptions of regression analysis.

Accepted Answer

One,that there is a linear relationship

Question 12

The true parameters of the regression models used for forecasting are unknown.

Accepted Answer

A) True 
 B)False

Question 13

A negative MAD indicates a forecast that is too low.

Accepted Answer

A) True 
 B)False

Long-range (two-to five-year)forecasts typically require the most accuracy because they are used for general (or aggregate)planning,

Which of the following is not a causal quantitative forecasting method?

One approach that is gaining increasing acceptance to help coordinate the joint planning of supply chain partners is which of the following?

Simple linear regression has how many independent variables?

Some of the most significant decisions made by organizations,frequently strategic decisions,are made on the basis of quantitative forecasts.

A cycle can be defined as a short-term oscillation,or a swing of the data points about the trend line over a period of at least three months.

Which of the following is not a component of time series data.

Which of the following is not an assumption of regression?

Informal forecasting methods include both quantitative and qualitative techniques.

What does bias tell about the accuracy of a forecasting model?

Briefly discuss the assumptions of regression analysis.

The true parameters of the regression models used for forecasting are unknown.

A negative MAD indicates a forecast that is too low.

Operations and Supply Chain Strategy for Competitiveness

Executing Strategy: Project Management

Process Planning

Capacity and Scheduling

Supply Chain Management

the Economic Order Quantity Model

Monitoring and Controlling the Processes

Process Improvement: Six Sigma

Process Improvement: Lean

Filters

Exam 5: Supply Chain Planning and Analytics

Long-range (two-to five-year)forecasts typically require the most accuracy because they are used for general (or aggregate)planning,

Which of the following is not a causal quantitative forecasting method?

One approach that is gaining increasing acceptance to help coordinate the joint planning of supply chain partners is which of the following?

Simple linear regression has how many independent variables?

Some of the most significant decisions made by organizations,frequently strategic decisions,are made on the basis of quantitative forecasts.

A cycle can be defined as a short-term oscillation,or a swing of the data points about the trend line over a period of at least three months.

Which of the following is not a component of time series data.

Which of the following is not an assumption of regression?

Informal forecasting methods include both quantitative and qualitative techniques.

What does bias tell about the accuracy of a forecasting model?

Briefly discuss the assumptions of regression analysis.

The true parameters of the regression models used for forecasting are unknown.

A negative MAD indicates a forecast that is too low.

Operations and Supply Chain Strategy for Competitiveness

Executing Strategy: Project Management

Process Planning

Capacity and Scheduling

Supply Chain Management

the Economic Order Quantity Model

Monitoring and Controlling the Processes

Process Improvement: Six Sigma

Process Improvement: Lean

Filters