In general terms, the main objective of the course is to teach how to use multi-criteria decision making (MCDM) methods in order to support MCDM processes in business. In detail, teaching how to create, solve and interpret results of the MCDM problems for various business problems encountered in different management levels and teaching how to analyze the interpreted results and adopt or put them into practice are the main objectives of the course.
20
Contribution of the Course to Professional Development
MCDM contributes to all kinds of business-related processions in terms of analyzing and interpreting numerical data and decision making.
21
Learning Outcomes:
1
Identifies criteria affecting a business problem.;
2
Calculates weights of criteria in MCDM problems using appropriate methods. ;
3
Can model MCDM problems.;
4
Will be able to choose and apply the most suitable method for MCDM problem.;
5
Can calculate group decision and use results for decision support.;
22
Course Content:
Week
Theoretical
Practical
1
Basic concepts of decision making, decision making process and modeling of decision problems
2
Multi-Criteria Decision Making (MCDM) Process (Weighting, Sequencing, Classification),
3
Simple Additive Weighting Method
4
The basic structure of the Analytical Hierarchy Process (AHP) and the creation of the hierarchical structure
5
Usage and application examples of AHP
6
Analytical Network Process (ANP)
7
TOPSIS Method
8
TOPSIS Method
9
VIKOR Method
10
Gray Relational Analysis (GRA)
11
ELECTRE Method
12
PROMETHEE Method
13
Integrated MCDM problems, group decisions and business practices.
14
Integrated MCDM problems, group decisions and business practices.
23
Textbooks, References and/or Other Materials:
Belton, V, Stewart, T.J., 2002. Multi-criteria Decision Analysis: An Integrated Approach, Kluwer Academic Publishers, Boston. Tzeng, G.H., Huang, J.J. 2011. Multiple Attribute Decision Making: Methods and Applications, CRC Press Taylor & Francis Group, Boca Raton. Bahadır Yıldırım, Emrah Önder, Çok Kriterli Karar Verme Yöntemleri, Dora Yayıncılık (2015)
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
0
0
Quiz
0
0
Homeworks, Performances
1
40
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Homework and Written exam
Information
Exams are evaluated with a relative or absolute evaluation system depending on the number of students.
25
ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
3
42
Homeworks, Performances
1
55
55
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
0
0
0
Others
0
0
0
Final Exams
1
35
35
Total WorkLoad
174
Total workload/ 30 hr
5,8
ECTS Credit of the Course
6
26
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
