ENS209 Multi-Criteria Decision Making Methods

4 ECTS - 3-0 Duration (T+A)- 3. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENS209
Name Multi-Criteria Decision Making Methods
Term 2026-2027 Academic Year
Semester 3. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Arş.Gör. Dr. OLCAY KALAN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to analyze decision-making processes, which are central to the discipline of Industrial Engineering, within a multi-criteria framework and to develop systematic solution approaches under complex conditions. The course will examine methodologies for structuring multi-criteria decision-making problems; and will aim to provide a comprehensive education in analytical techniques and modern decision models used in solving engineering problems.

Course Content

The course content begins with the fundamental concepts of decision-making and the stages of the decision-making process, and covers the classification and modeling of multi-criteria decision-making (MCDM) problems. Within this framework, criterion weighting techniques, commonly used ranking methods for discrete decision problems such as AHP, ANP, TOPSIS, VIKOR, and PROMETHEE, and multi-objective mathematical programming and goal programming approaches within the scope of continuous decision-making problems are discussed. Furthermore, an introduction to fuzzy logic-based approaches for managing uncertainties in the decision-making process is provided, enabling students to gain practical skills in method selection, application, and sensitivity analysis on engineering cases.

Course Precondition

NOT

Resources

Özbek, A., Aydın, Ş. N. (2025). Çok Kriterli Karar Verme Yöntemleri ve Excel ile Problem Çözümü Kavram – Teori – Uygulama. Seçkin Yayıncılık. Ayçin, E. (2019). Çok kriterli karar verme: Bilgisayar uygulamalı çözümler. Nobel Akademik Yayıncılık, Ankara, 512. Zopounidis, C., & Doumpos, M. (Eds.). (2017). Multiple Criteria Decision Making: Applications in Management and Engineering. Springer. Evans, G. W. (2016). Multiple Criteria Decision Analysis for Industrial Engineering: Methodology and Applications. CRC Press.

Notes

Articles related to the topics


Course Learning Outcomes

Order Course Learning Outcomes
LO01 To be able to explain the basic concepts and theoretical foundation of multi-criteria decision-making (MCDM) processes and their methods.
LO02 To be able to analyze industrial engineering problems, develop solution models using appropriate multi-criteria decision-making (MCDM) methods, and gain the ability to apply them.
LO03 To research current and innovative decision-making approaches and evaluate their strengths and weaknesses.
LO04 To be able to comparatively analyze the ranking results obtained from different multi-criteria decision-making (MCDM) algorithms and to evaluate the consistency between the methods using statistical techniques.
LO05 To test the stability of outcomes obtained from decision-making processes using sensitivity analysis and to report the results.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems. 3
PLO02 Bilgi - Kuramsal, Olgusal Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose. 4
PLO03 Bilgi - Kuramsal, Olgusal Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics. 4
PLO06 Bilgi - Kuramsal, Olgusal Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually.
PLO07 Beceriler - Bilişsel, Uygulamalı Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money. 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, health, safety and political issues. 4


Week Plan

Week Topic Preparation Methods
1 Introduction to Decision Making and Multi-Criteria Decision Making Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
2 Analytical Hierarchy Process (AHP) Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
3 Analytical Network Process (ANP) Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
4 TOPSIS Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
5 VIKOR Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
6 ELECTRE Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
7 CRITIC Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
8 Mid-Term Exam Study for Exam Ölçme Yöntemleri:
Yazılı Sınav
9 DEMATEL Method Reading Articles and Books Öğretim Yöntemleri:
Tartışma, Örnek Olay
10 ENTROPI Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
11 EDAS Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
12 MOORA Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
13 SWARA Method Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
14 Comparative Analysis Between Methods and Statistical Consistency of Results Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
15 Sensitivity Analysis in Multi-Criteria Decision Making Problems Reading Articles and Books Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
16 Term Exams Study for Exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Study for Exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 27.04.2026 06:21