Chapter 5 Transportation, Assignment, and Network Models

5.1 Chapter Questions

1) Which of the following is NOT a network flow model?

A) Transportation model

B) Assignment model

C) Product mix model

D) Shortest-path model

E) Minimal-spanning tree model

Answer: C

Page Ref: 162

Topic: Introduction

Difficulty: Easy

2) Which of the following models determines the path through the network that connects all the points?

A) Transportation model

B) Assignment model

C) Product mix model

D) Shortest-path model

E) Minimal-spanning tree model

Answer: E

Page Ref: 163

Topic: Introduction

Difficulty: Easy

Use the information below to answer the following questions.

*…show more content…*

Answer: FALSE

Page Ref: 184

Topic: Maximal Flow Model

Difficulty: Easy

20) In a maximal flow problem, the right-hand side of the flow balance constraints equals 1.

Answer: FALSE

Page Ref: 185

Topic: Maximal Flow Model

Difficulty: Moderate

21) The starting node of the shortest path problem has a supply value of -1.

Answer: TRUE

Page Ref: 188

Topic: Shortest-Path Model

Difficulty: Easy

22) The objective function of an assignment problem may be either maximization or minimization.

Answer: TRUE

Page Ref: 180

Topic: Assignment Model

Difficulty: Moderate

23) In a maximal flow problem, all the net flows are typically zeros.

Answer: TRUE

Page Ref: 185

Topic: Maximal Flow Model

Difficulty: Moderate

24) Every node in a network flow problem has a decision variable associated with it.

Answer: FALSE

Page Ref: 164

Topic: Characteristics of Network Models

Difficulty: Moderate

25) In a maximal flow problem, the flow capacity on the dummy arc connecting the destination node to the source node should be set to a very large value.

Answer: TRUE

Page Ref: 184

Topic: Maximal Flow Model

Difficulty: Easy

26) An assignment model has three jobs and four machines. This problem would be referred to as a balanced assignment problem.

Answer: FALSE

Page Ref: 182

Topic: Assignment Model

Difficulty: Easy

27) It is possible to solve small assignment problems by enumerating all possible outcomes rather than modeling them as linear