EMÜ672 - MANUFACTURING SYSTEMS DESIGN and PLANNING
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MANUFACTURING SYSTEMS DESIGN and PLANNING | EMÜ672 | Any Semester/Year | 3 | 0 | 3 | 10 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Problem Solving Other: Lectures, question-answer, problem solving, personal study | |||||
| Instructor (s) | To be determined by the department | |||||
| Course objective | To introduce the topic of integrated manufacturing To provide information about the system analysis applications for manufacturing systems. To demonstrate the properties of material flow systems To give information about planning and designing layouts To present the necessary background for designing and planning JIT, Kanban systems. To provide the information about computer integrated manufacturing To explain the methods for scheduling To give information about modeling in general manufacturing systems Applications of systems analysis and industrial engineering to the design, planning, and analysis of manufacturing systems. | |||||
| Learning outcomes |
| |||||
| Course Content | Scheduling in manufacturing systems Group technology Layout design Material handling systems Modeling approaches in manufacturing systems | |||||
| References | Askin, R. g.., Strandridge, C. R. (1993). Modeling and Analysis of Manufacturing Systems, Wiley | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Manufacturing systems and model building |
| Week 2 | Scheduling |
| Week 3 | Scheduling |
| Week 4 | Flexible manufacturing sytems |
| Week 5 | Group technology |
| Week 6 | Group technology |
| Week 7 | |
| Week 8 | Material handling systems |
| Week 9 | Midterm |
| Week 10 | Material handling systems |
| Week 11 | JIT systems |
| Week 12 | Queueing models in manufacturing systems |
| Week 13 | Simulation models in manufacturing systems |
| Week 14 | Project Presentations |
| Week 15 | Study for the Final Exam |
| Week 16 | Final Examination |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 4 | 8 |
| Presentation | 1 | 2 |
| Project | 1 | 20 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 7 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 12 | 7 | 84 |
| Presentation / Seminar Preparation | 1 | 12 | 12 |
| Project | 1 | 70 | 70 |
| Homework assignment | 4 | 5 | 20 |
| Midterms (Study duration) | 1 | 20 | 20 |
| Final Exam (Study duration) | 1 | 50 | 50 |
| Total Workload | 34 | 167 | 298 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Reach the necessary knowledge and methods in engineering within the scope of advanced industrial engineering studies through scientific research and evaluate knowledge and methods and implement them. | X | ||||
| 2. Implement advanced analytical methods and modeling techniques to design processes, products and systems in an innovative and original way and improve them | X | ||||
| 3. Have the competency to plan, manage and monitor processes, products and systems. | X | ||||
| 4. Evaluate the data obtained from analysis of the processes, products and systems, complete limited or missing data through scientific methods, develop data driven solution approaches. | X | ||||
| 5. Develop original methods for the efficient integration of the scarce resources such as man, machine, and material, energy, capital and time to the systems and implement these. | X | ||||
| 6. Effectively utilize computer programming languages, computer software, information and communication technology to solve problems in the field of industrial engineering. | X | ||||
| 7. Report and present advanced studies, outcomes/results and the evaluations on the design, analysis, planning, monitoring and improvement of processes, products and systems. | X | ||||
| 8. Are aware of the professional responsibility, describe the technological, economic and environmental effects of the industrial engineering applications, work as an individual independently and as a team member having an understanding of the scientific ethical values, take responsibility and lead the team. | X | ||||
| 9. Are aware of the up-to-date engineering applications, follow the necessary literature for advanced researches, have the competency to reach knowledge in a foreign language, to quote and implement them. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest