| INDUSTRIAL ENGINEERING | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| INE2008 | Operations Research I | Spring | 3 | 2 | 4 | 7 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Must Course |
| Course Level: | Bachelor |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi AYŞE KAVUŞTURUCU |
| Course Lecturer(s): |
RA ESRA ADIYEKE Prof. Dr. FAİK TUNÇ BOZBURA Dr. Öğr. Üyesi AYŞE KAVUŞTURUCU |
| Course Objectives: | The goal of this course is to introduce students the main concepts of operations research, such as linear programming, integer programming, graphical solution of linear programming problems, solution of linear programming problems via simplex method, big-M method, duality and sensitivity analysis, solution of integer programs via branch and bound algorithm, by modeling small-sized versions of real-world problems and solving them with computational techniques. |
|
The students who have succeeded in this course; I. Understand the concept of linear programming optimization technique together with its applications. II. Be able to solve lp models using simplex methodology. III. Understand M-Methodology IV. Understand Sensitivity Analysis, Duality and Post Optimality Analysis. V. Be able to model Integer Programming problems and solve them using Branch and Bound algorithm. |
| This course covers the following topics: Modeling with Linear Programming (LP), Graphical LP Solution, Simplex Method; big-M method, Sensitivity Analysis, Duality and Post-Optimal Analysis, Modeling with Integer Programming (IP), Branch and Bound Algorithm. |
| Week | Subject | Related Preparation | |
| 1) | Introduction to OR and Modeling with Linear Programming (LP) | ||
| 2) | Formulation of LP models | ||
| 3) | Graphical LP solution and selected LP applications | ||
| 4) | Selected LP applications and introduction to Simplex Method | ||
| 5) | Simplex algorithm | ||
| 6) | Big M method | ||
| 7) | Special Cases in Simplex method | ||
| 8) | Sensitivity Analysis | ||
| 9) | Sensitivity Analysis II | ||
| 10) | Duality, Primal-Dual Relationships | ||
| 11) | Economic Interpretation of Dual Variables/Constraints | ||
| 12) | Post Optimality Analysis | ||
| 13) | Formulation of Integer Programming Problems | ||
| 14) | Integer Programming; Branch and Bound Algorithm | ||
| Course Notes: | Taha, Hamdy A., Operations Research, 8th edition, 2007. ISBN: 0131360140 |
| References: | Winston, Wayne L., Operations Research: Applications and Algorithms, 4th edition, 2003. ISBN-13: 978-0534380588 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 0 | % 0 |
| Laboratory | 0 | % 0 |
| Application | 0 | % 0 |
| Field Work | 0 | % 0 |
| Special Course Internship (Work Placement) | 0 | % 0 |
| Quizzes | 4 | % 25 |
| Homework Assignments | 0 | % 0 |
| Presentation | 0 | % 0 |
| Project | 0 | % 0 |
| Seminar | 0 | % 0 |
| Midterms | 1 | % 35 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 14 | 4 | 56 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 4 | 1 | 4 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 1 | 2 | 2 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 2 | 2 |
| Total Workload | 134 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | 5 |
| 2) | Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. | 5 |
| 3) | Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective. | 5 |
| 4) | Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively. | 5 |
| 5) | Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering. | 3 |
| 6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. | |
| 7) | Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions. | |
| 8) | Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. | |
| 9) | Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications. | |
| 10) | Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
| 11) | Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. | |
| 12) | Develop effective and efficient managerial skills. |