INE5261 Multi Attribute Decision MakingBahçeşehir UniversityDegree Programs INDUSTRIAL ENGINEERING (ENGLISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
INDUSTRIAL ENGINEERING (ENGLISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE5261 Multi Attribute Decision Making Fall
Spring
3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi JBİD ANİ ARSENYAN ÜŞENMEZ
Course Lecturer(s): Dr. Öğr. Üyesi YÜCEL BATU SALMAN
Recommended Optional Program Components: None
Course Objectives: This course aims to build up the multi-attribute decision making concept by defining the decision making problem with its various constituents.

Learning Outcomes

The students who have succeeded in this course;
Understand the nature of decision making
Structure and model multi-attribute decision making problems
Select the most appropriate method to solve multi-attribute problems
Integrate the preferences of a group of decision makers
Solve real world problems having conflicting criteria

Course Content

The course includes various multi-attribute decision making tools and techniques such as elementary methods, value based methods, and outranking methods in order to help industrial engineering students to handle real-life problems with a scientific approach.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Decision analysis
2) Utility theory
3) Multi attribute decision making
4) Structuring the problem
5) Elementary methods
7) Value-based methods
8) Midterm
9) Outranking methods
10) Group Decision Making
11) Fuzzy Approach to MADM
12) Applications
13) Project presentations
14) Project presentations

Sources

Course Notes / Textbooks: Multiple Attribute Decision Making: An Introduction K . P. Yoon, and C.-L.Hwang 1995 978-0803954861
References: Multiple Criteria Decision Analysis: An Integrated Approach V. Belton, and T.J. Stewart 2003 0-7923-7505-X
The analytic hierarchy process: planning, priority setting, resource allocation T.L. Saaty 1990 978-0070543713
Decisions with Multiple Objectives:
Preferences and Value Tradeoffs R.L. Keeney, and H. Raiffa 1993 978-0521438834
The Analytic Network Process: Decision Making With Dependence and Feedback T.L. Saaty 1996 978-0962031793

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 1 % 35
Midterms 1 % 25
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 25
PERCENTAGE OF FINAL WORK % 75
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 12 6 72
Presentations / Seminar 1 15 15
Project 1 60 60
Midterms 1 2 2
Final 1 2 2
Total Workload 193

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Process view and analytic thinking
2) managerial thinking with technical background
3) To have theoretical knowledge on operations research.
4) Awareness about the applications of operations research
5) To have ability of selection and efficient use of modern techniques, equipments and information technologies for industrial engineering
6) To be capable of designing and conducting experiments and collecting data, analyzing and interpreting results
7) To have verbal and oral effective communication skills by using visual methods in Turkish and English
8) To be aware of entrepreneurship, sustainability and innovation
9) To lead disciplinary and multi-disciplinary teams, to develop solution approaches in complex situations, to work individually and to take responsibility.
10) To have conscious of professional and ethical responsibility
11) To have conscious of necessity to lifelong learning
12) To be aware of economic and legal implications of engineering solutions
13) Economic, social and environmental responsibility while solving management problems