Question 1

Goal programming problems cannot be easily reformulated as linear programming problems and,therefore,require a special algorithm to solve

Accepted Answer

A) True 
 B)False  False

Question 2

In which of the following situations is preemptive goal programming more appropriate than weighted goal programming?

Accepted Answer

A) When there are major differences in the importance of the goals 
B) When all of the goals are roughly equal in importance 
C) When there is a single objective or goal 
D) None of the above 
E) b and c only 
A) When there are major differences in the importance of the goals 
B) When all of the goals are roughly equal in importance 
C) When there is a single objective or goal 
D) None of the above 
E) b and c only A

Question 3

Goal programming provides a way to identify the most important goal and achieve it

Accepted Answer

A) True 
 B)False  False

Question 4

In preemptive goal programming,the most important thing is to:

Accepted Answer

A) Come as close as possible to meeting all the goals 
B) Achieve,or come as close as possible,to meeting the most important goal 
C) Minimize the weighted sum of deviations from the goals 
D) Maximize the profit 
E) All of the above 
A) Come as close as possible to meeting all the goals 
B) Achieve,or come as close as possible,to meeting the most important goal 
C) Minimize the weighted sum of deviations from the goals 
D) Maximize the profit 
E) All of the above

Question 5

Weighted goal programming provides a way of striving toward several objectives simultaneously

Accepted Answer

A) True 
 B)False

Question 6

In preemptive goal programming,the first step is to:

Accepted Answer

A) Minimize the weighted sum of deviations from the goals 
B) Minimize the deviation from the most important goal 
C) Meet the most important goal 
D) Maximize the profit 
E) None of the above 
A) Minimize the weighted sum of deviations from the goals 
B) Minimize the deviation from the most important goal 
C) Meet the most important goal 
D) Maximize the profit 
E) None of the above

Question 7

The overall objective for a goal programming problem is to minimize the weighted sum of deviations of the objective functions from their respective goals

Accepted Answer

A) True 
 B)False

Question 8

Which of the following are changing cells in a goal programming formulation?

Accepted Answer

A) Activity levels 
B) Deviations from the goals 
C) The weighted sum of deviations 
D) All of the above 
E) a and b only 
A) Activity levels 
B) Deviations from the goals 
C) The weighted sum of deviations 
D) All of the above 
E) a and b only

Question 9

A goal programming formulation includes changing cells to measure the amount over and under each goal

Accepted Answer

A) True 
 B)False

Question 10

In preemptive goal programming,the goals are ranked from most important to least important

Accepted Answer

A) True 
 B)False

Question 11

Preemptive goal programming strives to achieve all of the goals simultaneously

Accepted Answer

A) True 
 B)False

Question 12

In weighted goal programming,the objective is to:

Accepted Answer

A) Minimize the weighted sum of deviations from the goals 
B) Minimize the deviation from the most important goal 
C) Meet the most important goal 
D) Maximize the profit 
E) None of the above 
A) Minimize the weighted sum of deviations from the goals 
B) Minimize the deviation from the most important goal 
C) Meet the most important goal 
D) Maximize the profit 
E) None of the above

Question 13

In preemptive goal programming,if a new solution provides a major improvement in the second goal at the cost of a slight increase in the deviation from the first goal,then the new solution will be chosen

Accepted Answer

A) True 
 B)False

Question 14

In preemptive goal programming,penalty weights are assigned to measure the relative seriousness of missing the respective goals

Accepted Answer

A) True 
 B)False

Question 15

In preemptive goal programming,the objective cell is the weighted sum of the deviations from the goals

Accepted Answer

A) True 
 B)False

Question 16

Preemptive goal programming is more appropriate the weighted goal programming when there are major differences in the importance of the goals

Accepted Answer

A) True 
 B)False

Question 17

In goal programming,constraints are used to assure that every goal is met

Accepted Answer

A) True 
 B)False

Question 18

Goal programming can be used to handle problems with how many different objectives or goals?

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
E) Any number of objectives or goals 
A) 1 
B) 2 
C) 3 
D) 4 
E) Any number of objectives or goals

Question 19

Penalty weights for goal programming are best measured in monetary terms

Accepted Answer

A) True 
 B)False

Question 20

In weighted goal programming,the objective cell is the weighted sum of the deviations from the goals

Accepted Answer

A) True 
 B)False

Goal programming problems cannot be easily reformulated as linear programming problems and,therefore,require a special algorithm to solve

In which of the following situations is preemptive goal programming more appropriate than weighted goal programming?

Goal programming provides a way to identify the most important goal and achieve it

In preemptive goal programming,the most important thing is to:

Weighted goal programming provides a way of striving toward several objectives simultaneously

In preemptive goal programming,the first step is to:

The overall objective for a goal programming problem is to minimize the weighted sum of deviations of the objective functions from their respective goals

Which of the following are changing cells in a goal programming formulation?

A goal programming formulation includes changing cells to measure the amount over and under each goal

In preemptive goal programming,the goals are ranked from most important to least important

Preemptive goal programming strives to achieve all of the goals simultaneously

In weighted goal programming,the objective is to:

In preemptive goal programming,if a new solution provides a major improvement in the second goal at the cost of a slight increase in the deviation from the first goal,then the new solution will be chosen

In preemptive goal programming,penalty weights are assigned to measure the relative seriousness of missing the respective goals

In preemptive goal programming,the objective cell is the weighted sum of the deviations from the goals

Preemptive goal programming is more appropriate the weighted goal programming when there are major differences in the importance of the goals

In goal programming,constraints are used to assure that every goal is met

Goal programming can be used to handle problems with how many different objectives or goals?

Penalty weights for goal programming are best measured in monetary terms

In weighted goal programming,the objective cell is the weighted sum of the deviations from the goals

Introduction

Linear programming: Basic Concepts

Linear programming: Formulation and applications

Theart of modeling with spread sheets

What-If Analysis for linear programming

Network optimization problems

Using binary integer programming to deal withy es-Or-No decisions

Non linear programming

Decision Analysis

Forecasting

Queuing models

Computer simulation: Basic Concepts

Computer simulation with risks olver platform

Solution concepts for linear programming

Transportation and assignment problems

Pert CPM models for project management

Inventory management with known demand

Inventory management with uncertain demand

Computer simulation with crystal ball

Filters

Exam 17: Goal programming

Goal programming problems cannot be easily reformulated as linear programming problems and,therefore,require a special algorithm to solve

In which of the following situations is preemptive goal programming more appropriate than weighted goal programming?

Goal programming provides a way to identify the most important goal and achieve it

In preemptive goal programming,the most important thing is to:

Weighted goal programming provides a way of striving toward several objectives simultaneously

In preemptive goal programming,the first step is to:

The overall objective for a goal programming problem is to minimize the weighted sum of deviations of the objective functions from their respective goals

Which of the following are changing cells in a goal programming formulation?

A goal programming formulation includes changing cells to measure the amount over and under each goal

In preemptive goal programming,the goals are ranked from most important to least important

Preemptive goal programming strives to achieve all of the goals simultaneously

In weighted goal programming,the objective is to:

In preemptive goal programming,if a new solution provides a major improvement in the second goal at the cost of a slight increase in the deviation from the first goal,then the new solution will be chosen

In preemptive goal programming,penalty weights are assigned to measure the relative seriousness of missing the respective goals

In preemptive goal programming,the objective cell is the weighted sum of the deviations from the goals

Preemptive goal programming is more appropriate the weighted goal programming when there are major differences in the importance of the goals

In goal programming,constraints are used to assure that every goal is met

Goal programming can be used to handle problems with how many different objectives or goals?

Penalty weights for goal programming are best measured in monetary terms

In weighted goal programming,the objective cell is the weighted sum of the deviations from the goals

Introduction

Linear programming: Basic Concepts

Linear programming: Formulation and applications

Theart of modeling with spread sheets

What-If Analysis for linear programming

Network optimization problems

Using binary integer programming to deal withy es-Or-No decisions

Non linear programming

Decision Analysis

Forecasting

Queuing models

Computer simulation: Basic Concepts

Computer simulation with risks olver platform

Solution concepts for linear programming

Transportation and assignment problems

Pert CPM models for project management

Inventory management with known demand

Inventory management with uncertain demand

Computer simulation with crystal ball

Filters