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 | ||