ECTS - Optimization Applications in Manufacturing Systems
Optimization Applications in Manufacturing Systems (MFGE579) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Optimization Applications in Manufacturing Systems | MFGE579 | Elective Courses | 2 | 2 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses Taken From Other Departments |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Drill and Practice, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | To acquaint students with the fundamentals of stochastic simulations and nonlinear optimization. To give information about the application of stochastic methods for the process stability and process robustness. Familiarize the students about the methods of nonlinear optimization for complex production systems. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to the nonlinear optimization and stochastic process modeling, mathematical fundamentals of nonlinear process optimization, structure optimization: topology, form and material, introduction to nonlinear finite elements, optimization of manufacturing systems with regard to tolerances and tool loadings, pptimization of dynamical systems, |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Chapter 1: Introduction to the nonlinear optimization and stochastic process modeling | |
| 2 | Chapter 2: Mathematical fundamentals of nonlinear process optimization | |
| 3 | Chapter 3: Structure optimization: topology, form and material | |
| 4 | Chapter 4: Introduction to nonlinear finite elements | |
| 5 | Chapter 5: Optimization of manufacturing systems with regard to tolerances and tool loadings | |
| 6 | Chapter 6: Optimization of dynamical systems | |
| 7 | Chapter 7: Introduction to process robustness and stochasticity | |
| 8 | Chapter 8: Virtual modeling of stochastic systems | |
| 9 | Chapter 9: Virtual modeling of stochastic systems | |
| 10 | Chapter 10: Introduction to design of experiments | |
| 11 | Chapter 11: Design optimization with robustness analysis | |
| 12 | Chapter 12: Stochastic modeling of manufacturing systems in car body production | |
| 13 | Chapter 13: Optimization codes; OPTIS, ST-ORM and LS-OPT | |
| 14 | Chapter 14: Optimization codes; OPTIS, ST-ORM and LS-OPT | |
| 15 | Final Examination Period | |
| 16 | Final Examination Period |
Sources
| Course Book | 1. Masataka Yoshimura, System Design Optimization for Product Manufacturing, Springer, 2010 |
|---|---|
| Other Sources | 2. J. George Shanthikumar, David D. Yao, and W. Henk M. Zijm: Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains, Springer, 2003 |
| 3. Robert F. Rhyder: Manufacturing Process Design and Optimization; Marcel Dekker, 1997. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 6 | 30 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 30 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 8 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Demonstrates the ability to conduct advanced research activities both individually and as a team member. | |||||
| 2 | Gains the competence to examine, evaluate, and interpret research topics through scientific reasoning. | |||||
| 3 | Develops new methods and applies them to original research areas and topics. | |||||
| 4 | Systematically acquires experimental and/or analytical data, discusses and evaluates them to reach scientific conclusions. | |||||
| 5 | Applies the scientific philosophical approach in the analysis, modeling, and design of engineering systems. | |||||
| 6 | Synthesizes knowledge in their field to create, maintain, complete, and present original studies at an international level. | |||||
| 7 | Contributes to scientific and technological advancements in their engineering field. | |||||
| 8 | Contributes to industrial and scientific progress to improve society through research activities. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | 16 | 2 | 32 |
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 6 | 96 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 6 | 6 | 36 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 179 | ||