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Course Description |
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Course Name |
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Advanced Topics in Flexible Manufacturing Systems |
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Course Code |
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EM-556 |
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Course Type |
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Optional |
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Level of Course |
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Second Cycle |
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Year of Study |
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1 |
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Course Semester |
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Spring (16 Weeks) |
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ECTS |
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6 |
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Name of Lecturer(s) |
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InstructorDr. EBRU YILMAZ |
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Learning Outcomes of the Course |
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Learns modeling and solution techniques related to various problems such as design problems faced in flexible manufacturing systems.
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
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None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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The purpose of this course is to study modeling and solution techniques related to various problems such as design problems faced in flexible manufacturing systems. |
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Course Contents |
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Flexibility types and definitions, different flexible manufacturing system configurations, design of flexible manufacturing systems, modeling of flexible manufacturing system design, flexible manufacturing system performance measures, reconfiguration of flexible manufacturing systems. |
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Language of Instruction |
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English |
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Work Place |
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Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Flexibility types and definitions |
Reading the resources related to the section |
Explanation, presentation, discussion |
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2 |
Flexibility types and definitions |
Reading the resources related to the section |
Explanation, presentation, discussion |
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3 |
Different flexible manufacturing system configurations |
Reading the resources related to the section |
Explanation, presentation, discussion |
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4 |
Different flexible manufacturing system configurations |
Reading the resources related to the section |
Explanation, presentation, discussion |
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5 |
Design of flexible manufacturing systems |
Reading the resources related to the section |
Explanation, presentation, discussion |
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6 |
Design of flexible manufacturing systems |
Reading the resources related to the section |
Explanation, presentation, discussion |
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7 |
Midterm exam |
The preparation for the midterm exam |
Written exam |
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8 |
Modeling of flexible manufacturing system design |
Reading the resources related to the section |
Explanation, presentation, discussion |
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9 |
Modeling of flexible manufacturing system design |
Reading the resources related to the section |
Explanation, presentation, discussion |
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10 |
Modeling of flexible manufacturing system design |
Reading the resources related to the section |
Explanation, presentation, discussion |
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11 |
Flexible manufacturing system performance measures |
Reading the resources related to the section |
Explanation, presentation, discussion |
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12 |
Flexible manufacturing system performance measures |
Reading the resources related to the section |
Explanation, presentation, discussion |
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13 |
Reconfiguration of flexible manufacturing systems |
Reading the resources related to the section |
Explanation, presentation, discussion |
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14 |
Reconfiguration of flexible manufacturing systems |
Reading the resources related to the section |
Explanation, presentation, discussion |
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15 |
Project presentations |
The preparation for the project presentation |
Presentation, discussion |
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16/17 |
Final exam |
The preparation for the final exam |
Written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
KAMRANI, A.K., and SALHIEH, S.M., 2002, Product Design for Modularity, Kluwer Academic Publishers, USA, 223 pages.
NIEBEL, B.W., DRAPER, A.B., and WYSK, R.A., 1989, Modern Manufacturing Process Engineering, McGraw-Hill, Singapore, 986 pages.
ASKIN, R.G., and STANDRIDGE, C.R., 1993, Modeling and Analysis of Manufacturing Systems, John Wiley & Sons, Inc., New York, 461 pages.
GROOVER, M.P., 2002, Fundamentals of Modern Manufacturing: Materials, Processes, and Systems, John Wiley & Sons, Inc., USA, 1008 pages.
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
80 |
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Homeworks/Projects/Others |
3 |
20 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. |
5 |
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2 |
Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. |
5 |
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3 |
Work in multi-disciplinary teams and take a leading role and responsibility. |
4 |
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4 |
Identify, gather and use necessary information and data. |
4 |
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5 |
Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. |
4 |
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6 |
Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. |
5 |
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7 |
Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. |
4 |
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8 |
Analyze Industrial Engineering problems, develop innovative methods to solve the problems. |
5 |
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9 |
Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. |
5 |
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10 |
Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. |
5 |
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11 |
Follow, study and learn new and developing applications of industrial engineering. |
5 |
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12 |
Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. |
4 |
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13 |
Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. |
4 |
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14 |
Understand social and environmental implications of engineering practice. |
4 |
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15 |
Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
3 |
17 |
51 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
16 |
16 |
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Total Workload: | 161 |
| Total Workload / 25 (h): | 6.44 |
| ECTS Credit: | 6 |
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