Rapor Tarihi: 13.04.2026 06:04
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Production Planning and Control | ENM304 | Turkish | Compulsory | 6. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Dr. Öğr. Üyesi MEMET MERHAD AY |
| Instructor(s) | Dr. Öğr. Üyesi MEMET MERHAD AY (Bahar) |
| Goals | Using engineering, mathematics, statistics, business administration and managerial knowledge to successfully implement for Production Planning and Control. |
| Course Content | Production planning and control is a production management activity, which includes the identification, evaluation and regulation of all the tools necessary for the production of certain products. Controlling the planned production and taking the necessary measures and transferring the basic problems that may occur in production are reinforced with real life examples. |
| # | Öğrenme Kazanımı |
| 1 | Defining and solving production planning problems in industry |
| 2 | It applies demand forecasting, production planning, and inventory control methods. |
| 3 | It analyzes capacity, scheduling, and material requirements planning problems in production systems and develops solutions. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Production and system concepts | Lecture, Question and Answer |
| 2. Week | Production systems overview | Lecture, Problem Solving |
| 3. Week | Production planning and control | Lecture, Case Study |
| 4. Week | Demand Forecast - Classical Methods | Lecture, Problem Solving |
| 5. Week | Demand forecasting - Linear Regression | Lecture, Problem Solving |
| 6. Week | ABC analysis and mass production planning | Lecture, Problem Solving |
| 7. Week | Mass production planning | Lecture, Problem Solving |
| 8. Week | Production planning - linear model | Lecture, Problem Solving |
| 9. Week | Production planning - linear model | Lecture, Case Study |
| 10. Week | Stock Models | Lecture, Problem Solving |
| 11. Week | Stock models | Lecture, Problem Solving |
| 12. Week | Metarials Requirement Planning | Lecture, Problem Solving |
| 13. Week | Assembly line balancing | Lecture, Problem Solving |
| 14. Week | Job sequening and scheduling | Lecture, Question and Answer |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems | ✔ | |||||
| 5 | The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. | ✔ | |||||
| 6 | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | ✔ | |||||
| 7 | Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 |
|---|---|---|---|
| PY1 | 4 | 4 | 4 |
| PY5 | 4 | 4 | 4 |
| PY6 | 3 | 3 | 3 |
| PY7 | 3 | 3 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Bahar Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Dr. Öğr. Üyesi MEMET MERHAD AY | Vize | 40.00 | |
| Dr. Öğr. Üyesi MEMET MERHAD AY | Final | 60.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Sınavlar |
Midterm | 1 | 8 | 8 |
| Final | 1 | 12 | 12 | |
| Practice | 14 | 6 | 84 | |
| Practice End-Of-Term | 1 | 7 | 7 | |
| Total Workload | 153 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 6.0 | ||
