Ch 11: Distribution & Network Models

About This Chapter

Study the uses of network and linear programming models to solve transportation, transshipment and assignment problems. Video lessons and quizzes in this chapter also cover minimum-cost problem-solving methods and the uses of the Hungarian algorithm.

Distribution & Network Models - Chapter Summary and Learning Objectives

Take a look at the mathematical models used to find the most efficient and cost-effective methods for delivering products or assigning tasks. Our illustrated video lessons can help you identify some of the variables associated with these transportation and assignment problems as well as the methods used to solve them. Chapter topics include:

  • The transportation problem
  • Minimum-cost methods
  • The transportation simplex method
  • Hungarian algorithms
  • The assignment problem
  • The transshipment problem

Video Objective
The Transportation Problem: Features, Types & Solutions Explore the applications of the transportation model to solve transportation problems.
Developing Network and Linear Programming Models for the Transportation Problem Learn how network and linear programming models can be used to solve transportation problems.
Handling Transportation Problems & Special Cases Discover solutions to problems caused by unequal supply and demand or routing errors. Examine transportation problems with maximization objectives.
Using the Minimum-Cost Method to Solve Transportation Problems Find out how this method is used to reduce shipping costs.
Using the Transportation Simplex Method to Solve Transportation Problems Learn how to solve transportation problems using the transportation simplex method.
The Assignment Problem: Features, Types, & Solutions Discover the applications of the assignment model to solve problems associated with task assignment.
Developing Network and Linear Programming Models for the Assignment Problem Explore the uses of network and linear programming models to solve assignment problems.
Using the Hungarian Algorithm to Solve Assignment Problems Learn to solve assignment problems using the Hungarian algorithm.
The Transshipment Problem: Features, Types, & Solutions Study the differences between the transshipment problem and the transportation problem. Explore the applications of the transshipment model.
Developing Network and Linear Programming Models for the Transshipment Problem Use your knowledge of network and linear programming models to develop solutions to transshipment problems.

5 Lessons in Chapter 11: Distribution & Network Models
Test your knowledge with a 30-question chapter practice test
The Transportation Problem: Features, Types, & Solutions

1. The Transportation Problem: Features, Types, & Solutions

How do you calculate the cheapest way to ship goods between several warehouses and stores? In this lesson, you will explore the transportation problem and its solutions.

Handling Transportation Problems & Special Cases

2. Handling Transportation Problems & Special Cases

In this lesson we'll discuss how to handle transportation problems such as unequal supply and demand, unacceptable routes, and how solving transportation problems can maximize the objectives of a business.

Using the Minimum-Cost Method to Solve Transportation Problems

3. Using the Minimum-Cost Method to Solve Transportation Problems

This lesson will introduce you to the minimum cost method to solve transportation problems. We will explore why it is used, constraints and data needed to use the method and how the method is used to solve a real problem.

Using the Transportation Simplex Method to Solve Transportation Problems

4. Using the Transportation Simplex Method to Solve Transportation Problems

In this lesson, we will explore how to solve transportation problems using the transportation simplex method. We will investigate the data needed and follow an example from beginning to end.

Using the Hungarian Algorithm to Solve Assignment Problems

5. Using the Hungarian Algorithm to Solve Assignment Problems

The Hungarian Algorithm is used in assignment problems when we want to minimize cost. This lesson will go over the steps of this algorithm and we will also see this algorithm in action by applying it to a real-world example.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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