Question 1

Goal programming variables include functional and deviational variables.

Accepted Answer

A) True 
 B)False  True

Question 2

Positive deviational variables represent the underachievement of a given priority goal.

Accepted Answer

A) True 
 B)False  False

Question 3

The objective function of a goal programming model includes only functional variables.

Accepted Answer

A) True 
 B)False  False

Question 4

Functional deviational variables represent the overachievement of a given priority goal.

Accepted Answer

A) True 
 B)False

Question 5

When formulating a goal programming model, the decision maker will use decision variables similar to those used in regular linear or nonlinear programming models. In goal programming models, these variables are known as:

Accepted Answer

A)  Functional variables. 
B)  Deviational variables. 
C)  Priority variables. 
D)  Any of the above 
A)  Functional variables. 
B)  Deviational variables. 
C)  Priority variables. 
D)  Any of the above

Question 6

In a goal programming model, goal priority indicates the order of importance for achieving each goal.

Accepted Answer

A) True 
 B)False

Question 7

Which of the following cannot be used as a criterion for establishing priorities?

Accepted Answer

A)  Experience or preferences of the decision maker in specific business settings 
B)  Potential penalties for not achieving a goal 
C)  The value of goal deviations 
D)  All of the above can be used to establish priorities. 
A)  Experience or preferences of the decision maker in specific business settings 
B)  Potential penalties for not achieving a goal 
C)  The value of goal deviations 
D)  All of the above can be used to establish priorities.

Question 8

The variety of Big Data allows the decision maker to analyze business problems from many dimensions and for multiple goals.

Accepted Answer

A) True 
 B)False

Question 9

Writing goal programming and system constraints is the first step when formulating a goal programming model.

Accepted Answer

A) True 
 B)False

Question 10

A linear goal programming model can be formulated as:

Accepted Answer

A)  A single linear programming model. 
B)  A series of connected nonlinear programming models. 
C)  A single nonlinear programming model. 
D)  All of the above 
A)  A single linear programming model. 
B)  A series of connected nonlinear programming models. 
C)  A single nonlinear programming model. 
D)  All of the above

Question 11

Goal programming models have the potential to emerge as a primary data analytics tool for practitioners in the era of Big Data because

Accepted Answer

A)  They include multiple goals. 
B)  They are relatively easy to formulate. 
C)  They are relatively easy to solve. 
D)  All of the above 
A)  They include multiple goals. 
B)  They are relatively easy to formulate. 
C)  They are relatively easy to solve. 
D)  All of the above

Question 12

Nonlinear programming models cannot be transformed into goal programming models due to their complexity.

Accepted Answer

A) True 
 B)False

Question 13

Positive deviational variables represent the overachievement of a given priority goal.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following sets of priorities is not the same as {P1 = 5, P2 = 2, and P3 = 2}?

Accepted Answer

A)  {P1 = 500, P2 = 200, and P3 = 200} 
B)  {P1 = 60, P2 = 30, and P3 = 30} 
C)  {P1 = 0.5, P2 = 0.2, and P3 =0.2} 
D)  All of the above sets of priorities are the same as {P1 = 5, P2 = 2, and P3 = 2}. 
A)  {P1 = 500, P2 = 200, and P3 = 200} 
B)  {P1 = 60, P2 = 30, and P3 = 30} 
C)  {P1 = 0.5, P2 = 0.2, and P3 =0.2} 
D)  All of the above sets of priorities are the same as {P1 = 5, P2 = 2, and P3 = 2}.

Question 15

A goal is met when its goal deviation in a goal programming model is:

Accepted Answer

A)  Not zero. 
B)  Negative. 
C)  Zero. 
D)  Positive. 
A)  Not zero. 
B)  Negative. 
C)  Zero. 
D)  Positive.

Question 16

When formulating a goal programming model, the decision maker will use decision variables similar to those used in regular linear or nonlinear programming models. In goal programming models, these variables are known as functional variables.

Accepted Answer

A) True 
 B)False

Question 17

Goal programming variables can include any of the following except:

Accepted Answer

A)  Functional variables. 
B)  Positive deviational variables. 
C)  Negative deviational variables. 
D)  Priority variables. 
E)  All of the above are goal programming variables. 
A)  Functional variables. 
B)  Positive deviational variables. 
C)  Negative deviational variables. 
D)  Priority variables. 
E)  All of the above are goal programming variables.

Question 18

Goal deviation in a goal programming model indicates:

Accepted Answer

A)  The difference between the aspiration level and the actual accomplishment for each goal. 
B)  The deviation between the aspiration level and the value of the objective function. 
C)  The absolute deviation between the aspiration level and the value of the objective function. 
D)  All of the above 
A)  The difference between the aspiration level and the actual accomplishment for each goal. 
B)  The deviation between the aspiration level and the value of the objective function. 
C)  The absolute deviation between the aspiration level and the value of the objective function. 
D)  All of the above

Question 19

Which of the following variables can be included in the objective function of a goal programming model?

Accepted Answer

A)  Functional variables 
B)  Deviational variables 
C)  Priority variables 
D)  All of the above 
A)  Functional variables 
B)  Deviational variables 
C)  Priority variables 
D)  All of the above

Question 20

A goal programming model seeks to meet its goals in the order of their priority.

Accepted Answer

A) True 
 B)False

Goal programming variables include functional and deviational variables.

Positive deviational variables represent the underachievement of a given priority goal.

The objective function of a goal programming model includes only functional variables.

Functional deviational variables represent the overachievement of a given priority goal.

When formulating a goal programming model, the decision maker will use decision variables similar to those used in regular linear or nonlinear programming models. In goal programming models, these variables are known as:

In a goal programming model, goal priority indicates the order of importance for achieving each goal.

Which of the following cannot be used as a criterion for establishing priorities?

The variety of Big Data allows the decision maker to analyze business problems from many dimensions and for multiple goals.

Writing goal programming and system constraints is the first step when formulating a goal programming model.

A linear goal programming model can be formulated as:

Goal programming models have the potential to emerge as a primary data analytics tool for practitioners in the era of Big Data because

Nonlinear programming models cannot be transformed into goal programming models due to their complexity.

Positive deviational variables represent the overachievement of a given priority goal.

Which of the following sets of priorities is not the same as {P1 = 5, P2 = 2, and P3 = 2}?

A goal is met when its goal deviation in a goal programming model is:

When formulating a goal programming model, the decision maker will use decision variables similar to those used in regular linear or nonlinear programming models. In goal programming models, these variables are known as functional variables.

Goal programming variables can include any of the following except:

Goal deviation in a goal programming model indicates:

Which of the following variables can be included in the objective function of a goal programming model?

A goal programming model seeks to meet its goals in the order of their priority.

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Exam 5: Business Analytics With Goal Programming

Goal programming variables include functional and deviational variables.

Positive deviational variables represent the underachievement of a given priority goal.

The objective function of a goal programming model includes only functional variables.

Functional deviational variables represent the overachievement of a given priority goal.

When formulating a goal programming model, the decision maker will use decision variables similar to those used in regular linear or nonlinear programming models. In goal programming models, these variables are known as:

In a goal programming model, goal priority indicates the order of importance for achieving each goal.

Which of the following cannot be used as a criterion for establishing priorities?

The variety of Big Data allows the decision maker to analyze business problems from many dimensions and for multiple goals.

Writing goal programming and system constraints is the first step when formulating a goal programming model.

A linear goal programming model can be formulated as:

Goal programming models have the potential to emerge as a primary data analytics tool for practitioners in the era of Big Data because

Nonlinear programming models cannot be transformed into goal programming models due to their complexity.

Positive deviational variables represent the overachievement of a given priority goal.

Which of the following sets of priorities is not the same as {P1 = 5, P2 = 2, and P3 = 2}?

A goal is met when its goal deviation in a goal programming model is:

When formulating a goal programming model, the decision maker will use decision variables similar to those used in regular linear or nonlinear programming models. In goal programming models, these variables are known as functional variables.

Goal programming variables can include any of the following except:

Goal deviation in a goal programming model indicates:

Which of the following variables can be included in the objective function of a goal programming model?

A goal programming model seeks to meet its goals in the order of their priority.

Business Analytics With Management Science

Introduction to Linear Programming

Business Analytics With Linear Programming

Business Analytics With Nonlinear Programming

Business Analytics With Integer Programming

Business Analytics With Shipment Models

Marketing Analytics With Linear Programming

Marketing Analytics With Multiple Goals

Business Analytics With Simulation

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