| Industrial Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | ISE028 | ||||
| Course Name: | Multi-Criteria Decision-Making | ||||
| Semester: |
Spring Fall |
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| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. SALİHA KARADAYI USTA | ||||
| Course Lecturer(s): | Erfan Babaee Tirkolaee | ||||
| Course Assistants: |
| Course Objectives: | This course aims to teach the applications of multi-attribute decision-making and multi-objective decision-making methods as two main categories of MCDM. It also aims to ensure that our students can apply these techniques to different decision-making problems that they may encounter in the academic or real-life environment. |
| Course Content: | Introduction to MCDM; Decion-Makin Problem Structuring and Applications; SAW; AHP; ANP; TOPSIS; BWM; WSM; GP; Lexicographic method; ε-constraint method; Sensitivity Analysis; Decision-making under risk and uncertainty |
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The students who have succeeded in this course;
1) To understand and apply basic concepts of MCDM (MADM, MODM, Applications, etc.) 2) To recognize decision-making problems and define the effective criteria in conjunction with the alternatives at hand 3) To be familiar with well-known MADM approaches (such as AHP, ANP, TOPSIS, BWM, etc.) 4) To be familiar with well-known MODM approaches (such as Goal Programming, Weighted Sum, ε-Constraint, etc.) 5) To utilize EXCEL for applying MCDM methods 6) To be able to apply the MCDM methods on decision-making and optimization problems |
| Week | Subject | Related Preparation |
| 1) | Introduction to MCDM | |
| 2) | Decision-Making Problem Structuring and Applications | |
| 3) | MADM (SAW, AHP, ANP, TOPSIS, BWM) | |
| 4) | MADM (SAW, AHP, ANP, TOPSIS, BWM) | |
| 5) | MADM (SAW, AHP, ANP, TOPSIS, BWM) | |
| 6) | MADM (SAW, AHP, ANP, TOPSIS, BWM) | |
| 7) | MADM (SAW, AHP, ANP, TOPSIS, BWM) | |
| 8) | Midterm Exam Week | |
| 9) | MODM (WSM, GP, Sözlükbilimsel yöntem, ε-kısıtlama yöntemi) | |
| 10) | MODM (WSM, GP, Lexicographic method, ε-constraint method) | |
| 11) | MODM (WSM, GP, Lexicographic method, ε-constraint method) | |
| 12) | MODM (WSM, GP, Lexicographic method, ε-constraint method) | |
| 13) | Duyarlılık analizi | |
| 14) | Decision-making under risk and uncertainty |
| Course Notes / Textbooks: | Evans, G. W. (2016). Multiple criteria decision analysis for industrial engineering: Methodology and applications. CRC Press, 1st edition. ISBN: 9781315381398. |
| References: | Zopounidis, C. and Doumpos, M. (2017). Multiple Criteria Decision Making: Applications in Management and Engineering. Springer Cham, 1st edition. ISBN: 978-3-319-39290-5. |
| Course Learning Outcomes | 1 |
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3 |
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6 |
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| Program Outcomes | |||||||||||
| 1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |||||||||||
| 2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 | 2 | 2 | 2 | 2 | 2 | |||||
| 3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 2 | 3 | 2 | 2 | 3 | 3 | |||||
| 4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. | |||||||||||
| 5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | |||||||||||
| 6) Ability to work effectively within and multidisciplinary teams; individual study skills. | 3 | ||||||||||
| 7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
| 8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |||||||||||
| 9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |||||||||||
| 10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |||||||||||
| 11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions. | |||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
| 2) | Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 |
| 3) | Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 3 |
| 4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. | |
| 5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | |
| 6) | Ability to work effectively within and multidisciplinary teams; individual study skills. | 3 |
| 7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| 8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
| 9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
| 10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
| 11) | Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 2 | % 10 |
| Homework Assignments | 2 | % 20 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 13 | 0 | 3 | 39 | |||
| Study Hours Out of Class | 13 | 0 | 1 | 13 | |||
| Homework Assignments | 2 | 0 | 10 | 20 | |||
| Quizzes | 2 | 6 | 2 | 16 | |||
| Midterms | 1 | 8 | 2 | 10 | |||
| Final | 1 | 18 | 2 | 20 | |||
| Total Workload | 118 | ||||||