Information Package

Master's of Industrial Engineering with Thesis

END535

MULTI-CRITERIA DECISION MAKING

Course Code
END535
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Understand scientific and mathematical principles and apply them to the practice of multi criteria decision making
  2. Gain an ability to use computer programs as tools for multi criteria decision making applications
  3. Gain an ability to apply the basic principles of data analysis, and design of a selection problem
  4. Gain an ability to apply the design process to multi criteria 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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course Description
Course Contents
WEEK TOPICS
1st Week Science, Management, Scientific management, Decision making
2nd Week Decision process, environments, criterions, alternatives, decision models
3rd Week Multi criteria linear programming
4th Week Concept of Pareto Optimality / Trade off curves
5th Week Goal programming
6th Week Solution approaches of goal programming
7th Week Multi criteria linear programming computer applications
8th Week Comprimise programming
9th Week Midterm
10th Week Analytic hierarchy process (AHP)
11th Week Basic principles of AHP, comparisons and setting priorities
12th Week Other approaches for discrete alternatives problems: TOPSIS
13th Week Decision making in risk and uncertainty environments
14th Week Exaamples
Recommended or Required ReadingLecture Notes
Zeleny, Milan, Multiple Criteria Decision Making, McGraw-Hill Book Comp., New York, 1982.
Saaty, Thomas, L., Decision Making for Leaders, RWS Publications, Pittsburgh, 2001.
Winston, Wayne L., Operations Research, Duxbury Press, 3rd Edition, 1994
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Case Study
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 10
Quiz 3 10
Attendance 1 5
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 1 14 14
Individual or group work 14 13 182
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 14 14
Total Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1 X X X
K2 X X X X
K3 X X X X X
K4 X X
K5 X X
K6 X
K7
K8 X
K9 X
K10 X X
K11 X X