| Industrial Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | ISE206 | ||||
| Course Name: | Modelling and Optimization 1 | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Compulsory Courses | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Dr. Öğr. Üy. EMRE ÇAKMAK | ||||
| Course Lecturer(s): | Dr. Öğr. Üy. EMRE ÇAKMAK | ||||
| Course Assistants: |
| Course Objectives: | This course is a first step to modelling of and optimization of real-life systems. It aims to introduce students to linear programming problems (LPPs) and teach them the solution methods for different kinds of LPPs. The students will also get familiar with the notions of sensitivity analysis and duality as well as learn how to apply LP to network, assignment and transportation problems. |
| Course Content: | Introduction to operations research and linear programming (LP) models; the graphical method and applications; interpreting graphical solutions; graphical sensitivity analysis; the simplex method and applications; interpreting simplex solutions; simplex sensitivity analysis; using computer software to solve LP problems; duality; transportation and assignment problems and their solution algorithms; network problems and their solution algorithms. |
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The students who have succeeded in this course;
1) Understand the concepts of modelling and optimization and distinguish between various optimization models. 2) Develop linear programming (LP) models using the problem description related to a real-life system. 3) Understand and apply different solutions algorithms associated with linear programming problems (LPPs). 4) Use at least one software and/or solver extensions to deal with LP problems. 5) Critically analyse and interpret LP solutions and present them in an understandable manner. 6) Apply LP to some more advanced problems. |
| Week | Subject | Related Preparation |
| 1) | Introduction to Modelling | |
| 2) | LP and the Graphical Method | |
| 3) | The Graphical Method - cont'd. | |
| 4) | LP-Examples | |
| 5) | LP-Examples - II | |
| 6) | LP-Examples - III | |
| 7) | Holiday (Ramadan Fest) | |
| 8) | Midterm | |
| 9) | The Simplex Method | |
| 10) | The Simplex Method - cont'd. | |
| 11) | Sensitivity Analysis | |
| 12) | Sensitivity Analysis, Duality | |
| 13) | Network Problems | |
| 14) | General Review |
| Course Notes / Textbooks: | Winston, W.L. (2004). Operations Research: Applications and Algorithms, 4th Ed., Thomson Learning. Hillier F.S. and Lieberman, F.S. (2015). Introduction to Operation Research, 10th Edition, McGraw-Hill Education. |
| References: | Taha, H.A (2017). Operations Research: An Introduction, 10th (Global) Edition, Pearson. |
| Course Learning Outcomes | 1 |
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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 | 2 | 3 | 2 | |||||||
| 2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 3 | 3 | 3 | ||||||||
| 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. | |||||||||||
| 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. | 2 | ||||||||||
| 5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | 3 | 2 | 2 | ||||||||
| 6) Ability to work effectively within and multidisciplinary teams; individual study skills. | |||||||||||
| 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 |
| 2) | Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 3 |
| 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. | |
| 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. | 2 |
| 5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | 2 |
| 6) | Ability to work effectively within and multidisciplinary teams; individual study skills. | |
| 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 | 3 | % 12 |
| Homework Assignments | 1 | % 14 |
| Project | 1 | % 14 |
| Midterms | 1 | % 20 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
| Activities | Number of Activities | Workload |
| Course Hours | 13 | 39 |
| Application | 13 | 26 |
| Study Hours Out of Class | 9 | 18 |
| Quizzes | 13 | 13 |
| Midterms | 3 | 23 |
| Final | 3 | 23 |
| Total Workload | 142 | |