Instructor: Dr. Danny
Myers
Office:
BA 355
Phone:
372-8381
Email:
myers@cba.bgsu.edu
Text: Network Flows: Theory, Algorithms, and Applications,
Ahuja, Magnanti, and Orlin,
Prentice-Hall, Englewood Cliffs, NJ, 1993.
Course Objectives:
i) help students develop skills in formulating network models.
ii) discuss methods for solving network models and help students
develop skills in using
these methods.
Course Outline:
1. Theory and concepts
Preliminaries
Linear Programming
Graphical method, Simplex tableau
Definitions/terminology
Key theorem
Unimodularity
Network Simplex Method
Example
Obtaining a starting solution
Simplex method with bounds on the variables
Generalized Network Simplex Method
Obtaining a starting solution
Out-of-Kilter Algorithm
Example
OOK software
Lagrangian Relaxation
Example
2. Special Algorithms
Spanning tree
Shortest path
Maximum flow
Transportation
Starting
Solution Methods
Assignment
3. Applications
Project Scheduling
Pert/Cost
Production/Inventory Systems
Location Problems
Traveling Salesman Problem
Telecommunications Networks
Generalized Networks
Miscellaneous Applications
Grading: The final grade is based on the results
of homework, assigned journal readings, a project,
midterm exam, and a comprehensive final exam.
Item weights will be provided in class.
The grading scale is: 90-100% A 80-89% B
70-79% C 60-69% D 0-59% F.
Prerequisites: OR 570 or GBA 661 or CS 440 or
equivalent.