Question 1

If Solver fails to find an optimal solution to an integer programming problem,we might be able to find a near optimal solution by increasing the tolerance setting.

Accepted Answer

A) True 
 B)False  True

Question 2

Many of the most successful applications of optimization in the real world have been in the areas of scheduling,blending,logistics and aggregate planning.

Accepted Answer

A) True 
 B)False  True

Question 3

In network models of transportation problems,arcs represent the routes for getting a product from one node to another.

Accepted Answer

A) True 
 B)False  True

Question 4

In a transshipment problem,shipments

Accepted Answer

A)  can occur between any two nodes (suppliers,demanders,and transshipment locations) 
B)  cannot occur between two supply locations 
C)  cannot occur between two demand locations 
D)  cannot occur between a transshipment location and a demand location 
E)  cannot occur between a supply location and a demand location 
A)  can occur between any two nodes (suppliers,demanders,and transshipment locations) 
B)  cannot occur between two supply locations 
C)  cannot occur between two demand locations 
D)  cannot occur between a transshipment location and a demand location 
E)  cannot occur between a supply location and a demand location

Question 5

Logistics problems are problems of finding the least expensive way to transport products from their origin to their destination.

Accepted Answer

A) True 
 B)False

Question 6

In transportation problems,the three sets of input numbers that are required are capacities,demands and flows.

Accepted Answer

A) True 
 B)False

Question 7

Rounding the solution of a linear programming to the nearest integer values provides a(n)

Accepted Answer

A)  integer solution that is optimal 
B)  integer solution that may be neither feasible nor optimal 
C)  feasible solution that is not necessarily optimal 
D)  infeasible solution 
A)  integer solution that is optimal 
B)  integer solution that may be neither feasible nor optimal 
C)  feasible solution that is not necessarily optimal 
D)  infeasible solution

Question 8

Many organizations must determine how to schedule employees to provide adequate service.If we assume that an organization faces the same situation each week,this is referred to as

Accepted Answer

A)  static scheduling problem 
B)  dynamic scheduling problem 
C)  transportation scheduling problem 
D)  All of these options 
A)  static scheduling problem 
B)  dynamic scheduling problem 
C)  transportation scheduling problem 
D)  All of these options

Question 9

Which of the following statements is a type of constraint that is often required in blending problems?

Accepted Answer

A)  Integer constraint 
B)  Binary constraint 
C)  Quality constraint 
D)  None of these options 
A)  Integer constraint 
B)  Binary constraint 
C)  Quality constraint 
D)  None of these options

Question 10

Integer programming (IP)models are optimization models in which all of the variables must be integers.

Accepted Answer

A) True 
 B)False

Question 11

Many organizations must determine how to schedule employees to provide adequate service.If we assume that an organization faces the same situation each week,this is referred to as

Accepted Answer

A)  static scheduling problem 
B)  dynamic scheduling problem 
C)  transportation scheduling problem 
D)  All of these options 
A)  static scheduling problem 
B)  dynamic scheduling problem 
C)  transportation scheduling problem 
D)  All of these options

Question 12

The flow balance constraint for each transshipment node,in a minimum cost network flow model,takes the form

Accepted Answer

A)  Flow in
$\geq$ Flow out + Net supply 
B)  Flow out
$\geq$ Flow in + Net supply 
C)  Flow in = Flow out 
D)  Flow out
$\leq$ Flow in + Net supply 
E)  Flow in
$\leq$ Flow out + Net demand 
A)  Flow in
$\geq$ Flow out + Net supply 
B)  Flow out
$\geq$ Flow in + Net supply 
C)  Flow in = Flow out 
D)  Flow out
$\leq$ Flow in + Net supply 
E)  Flow in
$\leq$ Flow out + Net demand

Question 13

A nonlinear programming problem (NLP)is an optimization problem in which the objective function and/or the constraints are not linear functions of the decision variables.

Accepted Answer

A) True 
 B)False

Question 14

In nonlinear models,which of the following statements are correct?

Accepted Answer

A)  Only the objective function is not a linear function of the decision variables 
B)  Only the constraints are not linear functions of the decision variables 
C)  The objective function and/or the constraints are not linear functions of the decision variables 
D)  All of these options 
A)  Only the objective function is not a linear function of the decision variables 
B)  Only the constraints are not linear functions of the decision variables 
C)  The objective function and/or the constraints are not linear functions of the decision variables 
D)  All of these options

Question 15

Aggregate planning models are usually implemented through a rolling planning horizon.

Accepted Answer

A) True 
 B)False

Question 16

When we solve a nonlinear programming problem (NLP),it is very possible that Solver will obtain the wrong answer.

Accepted Answer

A) True 
 B)False

Question 17

If an LP problem is not correctly formulated,Solver will automatically indicate that it is infeasible when trying to solve it.

Accepted Answer

A) True 
 B)False

Question 18

In transportation problems,shipments between supply points or between demand points are possible.

Accepted Answer

A) True 
 B)False

Question 19

In a transportation problem,if it costs $4 per item to ship up to 200 items between cities,and $2 per item for each additional item,the proportionality assumption of LP is satisfied.

Accepted Answer

A) True 
 B)False

Question 20

In aggregate planning models,the number of workers available influences the possible production levels.

Accepted Answer

A) True 
 B)False

If Solver fails to find an optimal solution to an integer programming problem,we might be able to find a near optimal solution by increasing the tolerance setting.

Many of the most successful applications of optimization in the real world have been in the areas of scheduling,blending,logistics and aggregate planning.

In network models of transportation problems,arcs represent the routes for getting a product from one node to another.

In a transshipment problem,shipments

Logistics problems are problems of finding the least expensive way to transport products from their origin to their destination.

In transportation problems,the three sets of input numbers that are required are capacities,demands and flows.

Rounding the solution of a linear programming to the nearest integer values provides a(n)

Many organizations must determine how to schedule employees to provide adequate service.If we assume that an organization faces the same situation each week,this is referred to as

Which of the following statements is a type of constraint that is often required in blending problems?

Integer programming (IP)models are optimization models in which all of the variables must be integers.

Many organizations must determine how to schedule employees to provide adequate service.If we assume that an organization faces the same situation each week,this is referred to as

The flow balance constraint for each transshipment node,in a minimum cost network flow model,takes the form

A nonlinear programming problem (NLP)is an optimization problem in which the objective function and/or the constraints are not linear functions of the decision variables.

In nonlinear models,which of the following statements are correct?

Aggregate planning models are usually implemented through a rolling planning horizon.

When we solve a nonlinear programming problem (NLP),it is very possible that Solver will obtain the wrong answer.

If an LP problem is not correctly formulated,Solver will automatically indicate that it is infeasible when trying to solve it.

In transportation problems,shipments between supply points or between demand points are possible.

In a transportation problem,if it costs $4 per item to ship up to 200 items between cities,and $2 per item for each additional item,the proportionality assumption of LP is satisfied.

In aggregate planning models,the number of workers available influences the possible production levels.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 14: Optimization Models

If Solver fails to find an optimal solution to an integer programming problem,we might be able to find a near optimal solution by increasing the tolerance setting.

Many of the most successful applications of optimization in the real world have been in the areas of scheduling,blending,logistics and aggregate planning.

In network models of transportation problems,arcs represent the routes for getting a product from one node to another.

In a transshipment problem,shipments

Logistics problems are problems of finding the least expensive way to transport products from their origin to their destination.

In transportation problems,the three sets of input numbers that are required are capacities,demands and flows.

Rounding the solution of a linear programming to the nearest integer values provides a(n)

Many organizations must determine how to schedule employees to provide adequate service.If we assume that an organization faces the same situation each week,this is referred to as

Which of the following statements is a type of constraint that is often required in blending problems?

Integer programming (IP)models are optimization models in which all of the variables must be integers.

Many organizations must determine how to schedule employees to provide adequate service.If we assume that an organization faces the same situation each week,this is referred to as

The flow balance constraint for each transshipment node,in a minimum cost network flow model,takes the form

A nonlinear programming problem (NLP)is an optimization problem in which the objective function and/or the constraints are not linear functions of the decision variables.

In nonlinear models,which of the following statements are correct?

Aggregate planning models are usually implemented through a rolling planning horizon.

When we solve a nonlinear programming problem (NLP),it is very possible that Solver will obtain the wrong answer.

If an LP problem is not correctly formulated,Solver will automatically indicate that it is infeasible when trying to solve it.

In transportation problems,shipments between supply points or between demand points are possible.

In a transportation problem,if it costs $4 per item to ship up to 200 items between cities,and $2 per item for each additional item,the proportionality assumption of LP is satisfied.

In aggregate planning models,the number of workers available influences the possible production levels.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters