TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM356 |
| Name | Engineering Optimization |
| Term | 2018-2019 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. EBRU YILMAZ |
| Course Instructor |
Doç. Dr. EBRU YILMAZ
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The purpose of this course is to study linear, integer and goal programming approaches and related solution techniques.
Course Content
Linear programming, Solution of linear models, Introduction to integer programming, Formulating integer programming problems, Solution of integer programming models, Branch-and-bound algorithm, Goal programming types, Formulating goal programming problems.
Course Precondition
Yok
Resources
Notes
1. HILLIER, F.S., and LIEBERMAN, G.J., 2005, Introduction to Operations Research, McGraw-Hill, Boston, 1061 pages.2. HALAÇ,O., 2001, Kantitatif Karar Verme Teknikleri (Yöneylem Araştırması), Alfa, İstanbul, 580 sayfa.3. ÖZTÜRK,A., 2009, Yöneylem Araştırması, Ekin Yayınevi, Bursa.4. WINSTON, W.L., 2004, Operations Research Applications and Algorithms, Fourth Edition, Brooks/Cole Cengage Learning, Printed in Canada.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Formulates linear programming problems seen in a service or manufacturing system. |
| LO02 | Solves linear programming models with appropriate solution methods. |
| LO03 | Formulates integer programming problems seen in a service or manufacturing system. |
| LO04 | Explains how to apply branch and bound algorithm to solve integer programming models. |
| LO05 | Formulates goal programming problems seen in a service or manufacturing system. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. | 5 |
| PLO02 | - | Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. | 5 |
| PLO03 | - | Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . | 5 |
| PLO04 | - | Gains ability to choose and apply methods and tools for industrial engineering applications. | 5 |
| PLO05 | - | Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. | 5 |
| PLO06 | - | Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. | 4 |
| PLO07 | - | Can access information and to search/use databases and other sources for information gathering. | 4 |
| PLO08 | - | Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. | 4 |
| PLO09 | - | Can use computer software in industrial engineering along with information and communication technologies. | 5 |
| PLO10 | - | Can use oral and written communication efficiently. | 4 |
| PLO11 | - | Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. | 4 |
| PLO12 | - | Has a conscious understanding of professional and ethical responsibilities. | 5 |
| PLO13 | - | Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. | 3 |
| PLO14 | - | Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Linear programming | Reading the resources related to the section | |
| 2 | Linear programming | Reading the resources related to the section | |
| 3 | Solution of linear models | Reading the resources related to the section | |
| 4 | Solution of linear models | Reading the resources related to the section | |
| 5 | Introduction to integer programming | Reading the resources related to the section | |
| 6 | Formulating integer programming problems | Reading the resources related to the section | |
| 7 | Formulating integer programming problems | Reading the resources related to the section | |
| 8 | Mid-Term Exam | The preparation for the midterm exam | |
| 9 | Solution of integer programming models | Reading the resources related to the section | |
| 10 | Branch-and-bound algorithm | Reading the resources related to the section | |
| 11 | Branch-and-bound algorithm | Reading the resources related to the section | |
| 12 | Goal programming types | Reading the resources related to the section | |
| 13 | Formulating goal programming problems | Reading the resources related to the section | |
| 14 | Formulating goal programming problems | Reading the resources related to the section | |
| 15 | Project presentations | The preparation for the project presentation | |
| 16 | Term Exams | The preparation for the term exam | |
| 17 | Term Exams | The preparation for the term exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||