At the end of this course, the students; 1) Develop and apply models to assist managers and decision-makers in solving organizational problems 2) Know the basics of linear programming, 3) Explain the solution methods of linear programming models, 4) Use linear programming softwares and analyze the results.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
COURSE CONTENTS
WEEK
TOPICS
1st Week
Methods of Operations Research
2nd Week
Examples for Linear Programming
3rd Week
The Generic Form of a Linear Program and Basic Definitions
4th Week
The Basics of Linear Programming and Solution Approaches
5th Week
The Basics of the Simplex Algorithm
6th Week
The Operations of the Simplex Algorithm
7th Week
Big M ve Two Phase Simplex Algorithms
8th Week
Duality in Linear Programming
9th Week
Midterm Exam
10th Week
Dual Simplex Algorithm
11th Week
Sensitivity Analysis
12th Week
Transportation Models
13th Week
Sensitivity in Transportation Models
14th Week
Assignment Models
RECOMENDED OR REQUIRED READING
1.Bazaraa M.S., Jarvis J.J., Sherali H.D., 1990, Linear Programming and Network Flows 2nd ed., John Wiley & Sons, 684 p. 2.Hillier F.S., Lieberman G.J., 2001, Introduction to Operations Research (7th ed.), Mc Graw-Hill, 1240 p. 3.Castillo E., Conejo A.J., Pedregal P., Garcia R., Alguacil N., 2002, Building and Solving Mathematical Programming Models in Engineering and Science, Wiley, 546 p. 4.An Introduction to Management Science, 9th ed., D. R. Anderson, D. J. Sweeney, and T.A. Williams, South-Western College Publishing, 2000.
