At the end of this course, the students; 1) Understand advanced scientific and mathematical principles and apply them to the practice of multi criteria/objective decision making 2) Gain an ability to use advanced computer programs as tools for multi criteria/objective decision making applications 3) Gain an ability to apply the advanced principles of data analysis, and design of a selection problem 4) Gain an ability to apply the design process to multi objective decision making problems, including the consideration of different technical alternatives while bearing in mind cost, environmental concerns, safety, and other constraints 5) Gain an ability to analyze, measure, test, and evaluate a selection problem
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
Decision problem and the basic concepts.,
2nd Week
Decision problem and the basic concepts.
3rd Week
modeling, basic concepts of linear programming
4th Week
modeling, basic concepts of linear programming
5th Week
Simplex Algorithm and sensitivity analysis
6th Week
Transportation and assignment problems
7th Week
Transportation and assignment problems
8th Week
Midterm exam
9th Week
Nonlinear programming
10th Week
Nonlinear programming
11th Week
Integer programming.
12th Week
Integer programming
13th Week
Dynamic programming.
14th Week
Dynamic programming.
RECOMENDED OR REQUIRED READING
(1)Chen, S-J, Hwang C-L. Fuzzy Multible Attribute Decision Making-Methods and Applications, Springer-Verlag, 1992. (2)Lai, Y-J, Hwang C-L. Fuzzy Multible Objective Decision Making-Methods and Applications, Springer-Verlag, 1996. (3)Wayne L. Winston, Operations Research. Applications and Algorithms, Third edition, Duxbury Press, Belmont, California, 1994, (4)Ronald R. Rardin (Purdue University), Optimization in Operations Research, Prentice-Hall, Inc., Upper Saddle River, New Jersey, 1998.
