Question 1

Which of the following will have negative net flow in a minimum cost flow problem ?

Accepted Answer

A) Supply nodes 
B) Transshipment nodes 
C) Demand nodes 
D) Arc capacities 
E) None of the above 
A) Supply nodes 
B) Transshipment nodes 
C) Demand nodes 
D) Arc capacities 
E) None of the above

Question 2

The source and sink of a maximum flow problem have conservation of flow

Accepted Answer

A) True 
 B)False

Question 3

All network optimization problems actually are special types of linear programming problems

Accepted Answer

A) True 
 B)False

Question 4

The objective of a minimum cost flow problem is to minimize the total cost of sending the available supply through the network even if all demand is not satisfied

Accepted Answer

A) True 
 B)False

Question 5

Maximum flow problems are concerned with maximizing the flow of goods through a distribution network

Accepted Answer

A) True 
 B)False

Question 6

Any node where the net amount of flow generated is fixed at zero is a transshipment node

Accepted Answer

A) True 
 B)False

Question 7

Each node in a minimum cost flow problem where the net amount of flow generated is a fixed positive number is a demand node

Accepted Answer

A) True 
 B)False

Question 8

As long as all its supplies and demands have integer values,any minimum cost flow problem is guaranteed to have an optimal solution with integer values

Accepted Answer

A) True 
 B)False

Which of the following will have negative net flow in a minimum cost flow problem ?

The source and sink of a maximum flow problem have conservation of flow

All network optimization problems actually are special types of linear programming problems

The objective of a minimum cost flow problem is to minimize the total cost of sending the available supply through the network even if all demand is not satisfied

Maximum flow problems are concerned with maximizing the flow of goods through a distribution network

Any node where the net amount of flow generated is fixed at zero is a transshipment node

Each node in a minimum cost flow problem where the net amount of flow generated is a fixed positive number is a demand node

As long as all its supplies and demands have integer values,any minimum cost flow problem is guaranteed to have an optimal solution with integer values

Introduction

Linear programming: Basic Concepts

Linear programming: Formulation and applications

Theart of modeling with spread sheets

What-If Analysis for linear programming

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

Goal programming

Inventory management with known demand

Inventory management with uncertain demand

Computer simulation with crystal ball

Filters

Exam 6: Network optimization problems

Which of the following will have negative net flow in a minimum cost flow problem ?

The source and sink of a maximum flow problem have conservation of flow

All network optimization problems actually are special types of linear programming problems

The objective of a minimum cost flow problem is to minimize the total cost of sending the available supply through the network even if all demand is not satisfied

Maximum flow problems are concerned with maximizing the flow of goods through a distribution network

Any node where the net amount of flow generated is fixed at zero is a transshipment node

Each node in a minimum cost flow problem where the net amount of flow generated is a fixed positive number is a demand node

As long as all its supplies and demands have integer values,any minimum cost flow problem is guaranteed to have an optimal solution with integer values

Introduction

Linear programming: Basic Concepts

Linear programming: Formulation and applications

Theart of modeling with spread sheets

What-If Analysis for linear programming

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

Goal programming

Inventory management with known demand

Inventory management with uncertain demand

Computer simulation with crystal ball

Filters