Industrial Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | IE321 | ||||||||
Course Name: | Operations Research I | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Compulsory | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Ar.Gör. AHMET SELÇUK YALÇIN | ||||||||
Course Lecturer(s): |
Dr.Öğr.Üyesi GÜNSELİ GÖRÜR |
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Course Assistants: |
Course Objectives: | The objective of this course is to learn using different mathematical modeling techniques with OR, to learn using different methods that are used for numerical decision making, and to learn finding optimal solutions to problems. |
Course Content: | I. To learn using different mathematical modeling techniques with Operations Research II. To learn using different methods that are used for numerical decision making III. To learn finding optimal solutions to problems |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | • Definition of operation research (OR), • Emergence of OR, • Steps of OR. • Basic concepts. | Lecture Notes |
2) | • Introduction to Linear Programming | Ders notları |
3) | • Linear Programming • Characteristics, • Assumptions and Modeling of LP, • Optimization concept | Lecture Notes |
4) | Development of linear programming models. | Lecture notes |
5) | Development of linear programming models and solving linear programming models with the graphical method. | Lecture Notes |
6) | Solving linear programming model with the Simplex Algorithm | Lecture notes |
7) | Evaluating students via midterm exam. | Preparing the exam |
8) | • Artificial starting solution in the simplex algorithm, • M method | Lecture notes |
9) | • Artificial starting solution in the simplex algorithm, • Two-Phase method | Lecture Notes |
10) | Renewal of the past two weeks | Lecture Notes |
11) | Duality, Dual simplex method | Lecture notes |
12) | Sensitivity Analysis and Duality | Lecture notes |
13) | Transportation Models | Lecture notes |
14) | Transportation Simplex and the Hungarian Method | Lecture notes |
Course Notes / Textbooks: | Winston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson Learning |
References: | I. Taha H.A. (2003) "Operations Research: An Introduction", Pearson Education Inc. II. Taha H.A. (2000) "Yoneylem Arastirmasi", Literatur Yayincilik (cev. Alp Baray ve Sakir Esnaf) III. Winston W.L., Albright S.C. (2001) "Practical Management Science", Duxbury Press, Wadsworth Inc. IV. Render B., Stair R.M. Jr., Hanna M.E. (2003) "Quantitative Analysis for Management", Pearson Education Inc. V. Taylor B.W. III (2002) "Introduction to Management Science", Pearson Education Inc VI. Rardin R.L. (1998) "Optimization in Operations Research", Prentice Hall Inc. VII. Walker R.C. (1999) "Introduction to Mathematical Programming", Prentice Hall Inc. |
Learning Outcomes | 1 |
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Program Outcomes | ||||||||||
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | ||||||||||
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | ||||||||||
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | ||||||||||
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. | ||||||||||
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems. | ||||||||||
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language. | ||||||||||
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||||||
9) Awareness of professional and ethical responsibility. | ||||||||||
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | ||||||||||
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | 5 |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | 4 |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | 5 |
4) | Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. | 4 |
5) | Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems. | 1 |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | 5 |
9) | Awareness of professional and ethical responsibility. | 5 |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
Lesson | |
Problem Solving |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 50 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Application | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 8 | 112 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 200 |