Master's Degree in Industrial Engineering with Thesis
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Master's Degree in Industrial Engineering with Thesis
Course Details
Graduate Education Institute
Programme of Master's Degree in Industrial Engineering with Thesis
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 84211111 | Modeling and Design of Production Systems | 2025 | Spring | 2 | 3+0+0 | 7 | 7 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Şule ERYÜRÜK |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Şule ERYÜRÜK | A-Z34 | [email protected] | 7537 |
Course Content
Types of production systems and design principles; facility layout and cellular manufacturing; capacity planning; assembly line balancing; queueing theory and discrete-event simulation; mathematical modeling and optimization; lean manufacturing and Industry 4.0 applications.
Objectives of the Course
o provide advanced knowledge and applied skills in modeling, designing, and evaluating production systems using analytical and simulation-based methods, enabling students to develop and assess alternative system designs for real-world production problems through data-driven analysis.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Using scientific research methods in the field of Industrial Engineering, they access information in depth and from a broad perspective; they critically analyze, interpret, and apply the information they obtain. | 4 |
| P2 | Possesses advanced knowledge of current methods, techniques, and tools used in Industrial Engineering, as well as the assumptions and limitations of these approaches. | 4 |
| P4 | Monitors new and emerging applications, approaches, and technologies in the field of Industrial Engineering; develops and manages the learning process in these areas as needed. | 4 |
| P5 | Industrial Engineering systematically defines problems; develops appropriate models and methods for these problems and applies innovative approaches in the solution processes. | 4 |
| P11 | It observes social, scientific, and ethical values during the collection, interpretation, and dissemination of data, as well as in all professional activities. | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | They analyze and interpret information obtained from scientific sources using a critical thinking approach. | P.1.2 | 6 |
| O2 | It reports on scientific research processes in accordance with academic ethical principles. | P.1.5 | 6 |
| O3 | He/She possesses advanced knowledge of current methods, techniques, and tools used in Industrial Engineering. | P.2.1 | 5 |
| O4 | It evaluates the validity, consistency, and applicability of the developed solutions. | P.3.5 | 5 |
| O5 | It defines industrial engineering problems using a systematic and analytical approach. | P.5.1 | 5 |
| O6 | Evaluates the obtained solution results from technical, economic, and managerial perspectives. | P.5.5 | 5 |
| O7 | Uses creative thinking and design-oriented approaches in problem-solving processes. | P.6.4 | 3 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to production systems, classification and design process |
| 2 | Product-process matrix and production strategies (MTS, MTO, ATO, ETO) |
| 3 | Demand forecasting and capacity planning |
| 4 | Facility layout: layout types and analytical methods |
| 5 | Group technology and cellular manufacturing system design |
| 6 | Assembly line balancing (single and mixed-model) |
| 7 | Material handling systems and warehouse design |
| 8 | Midterm Exam |
| 9 | Mathematical modeling of production systems (LP/IP) |
| 10 | Scheduling models and heuristic approaches |
| 11 | Queueing theory and stochastic production systems |
| 12 | Discrete-event simulation: model building and validation |
| 13 | Lean manufacturing principles and value stream design |
| 14 | Industry 4.0, digital twin and cyber-physical production systems |
Textbook or Material
| Resources | Askin, R. G. & Standridge, C. R., Modeling and Analysis of Manufacturing Systems, John Wiley & Sons. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Homework | 1 | 40 (%) |
| Presentation | - | - |
| Midterms | - | - |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 1 | 3 | 3 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 10 | 10 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 65 | ||
| Total Work Load / 30 | 2,17 | ||
| Course ECTS Credits: | 2 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P3 | P5 | P6 |
|---|---|---|---|---|---|---|
| O1 | They analyze and interpret information obtained from scientific sources using a critical thinking approach. | 3 | - | - | - | - |
| O2 | It reports on scientific research processes in accordance with academic ethical principles. | - | - | - | - | - |
| O3 | He/She possesses advanced knowledge of current methods, techniques, and tools used in Industrial Engineering. | - | - | - | - | - |
| O4 | It evaluates the validity, consistency, and applicability of the developed solutions. | - | - | - | - | - |
| O5 | It defines industrial engineering problems using a systematic and analytical approach. | - | - | - | - | - |
| O6 | Evaluates the obtained solution results from technical, economic, and managerial perspectives. | - | - | - | - | - |
| O7 | Uses creative thinking and design-oriented approaches in problem-solving processes. | - | - | - | - | 3 |