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Course Description |
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Course Name |
: |
Production Planning in Textile Mills |
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Course Code |
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TL-528 |
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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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5 |
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Name of Lecturer(s) |
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Assoc.Prof.Dr. EMEL CEYHUN SABIR |
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Learning Outcomes of the Course |
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Knows the production process of textile mills Estimates the demand forecasting Knows the capacity planning Can make the plannig of the production based on the mill´s resources Is able to use optimization techniques to decide
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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 course enables the students to plan and evaluate the available resources for the realization of the optimal production plan before starting production in textile mills, |
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Course Contents |
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Production management. Production plans and programs. Production plan types and techniques. Production scheduling. Mathematical models. Cost models. Linear programming method for the production planning. Assignment and production planning. Assignment and production planning. Waiting line problems. Textile Enterprises (Spinning, Weaving, Clothing and so on., Etc.). Textile and Apparel Production planning application studies. |
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Language of Instruction |
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Turkish |
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Work Place |
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Class in Textile Enginnering Department |
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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 |
Management of production |
The course notes |
Lecture, discussion, presentation |
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2 |
Production plannig and programming |
The course notes |
Lecture, discussion, presentation |
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3 |
Production plannig types |
The course notes |
Lecture, discussion, presentation |
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4 |
Production planning techniques |
The course notes |
Lecture, discussion, presentation |
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5 |
Production scheduling |
The course notes |
Lecture, discussion, presentation |
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6 |
Mathematical models |
The course notes |
Lecture, discussion, presentation |
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7 |
Cost models |
The course notes |
Lecture, discussion, presentation |
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8 |
Mid-term exam |
The course notes |
Written examination |
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9 |
Linear Programming |
The course notes |
Lecture, discussion, presentation |
|
10 |
Assignment and production planning |
The course notes |
Lecture, discussion, presentation |
|
11 |
Waiting line problems |
The course notes |
Lecture, discussion, presentation |
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12 |
The case studies |
The course notes |
Lecture, discussion, presentation |
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13 |
The case studies |
The course notes |
Lecture, discussion, presentation |
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14 |
Homework presentations |
The course notes |
Lecture, discussion, presentation |
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15 |
General revision |
The course notes |
Lecture, discussion, presentation |
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16/17 |
Final examination |
The course notes |
Written Examination |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Acar, Nesime, Kesikli seri üretim sistemlerinde planlama ve kontrol çalışmaları , MPM, Ankara, 1984
Kobu, Bülent, Production Management , Beta, İstanbul, 2005.
Levi,R., Rubin, D., Stinson J.P., Gardner, E.S., Quantitative Approaches to Management, McGraw-Hill, 8th Ed., 1992.
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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 |
50 |
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Homeworks/Projects/Others |
1 |
50 |
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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 |
Graduates have the undergraduate qualifications of Textile Engineering. |
2 |
|
2 |
They can develop their academic knowledge up to the level of expertise in the same or different fields. |
5 |
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3 |
They can comprehend the interdisciplinary interaction related to the field. |
5 |
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4 |
Graduates are able to use theoretical and practical knowledge acquired in the level of expertise in the field of Textile Engineering. |
4 |
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5 |
Graduates can integrate the information from various disciplines. |
5 |
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6 |
Graduates can solve the problems that require expertise using scientific research methods. |
4 |
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7 |
They can solve a problem in the field of Textile Engineering, evaluate the results and implement these results. |
4 |
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8 |
Graduates are deteremined about the recognition of the need of lifelong learning, they can follow developments in science and technology and they update themselves continuosly. |
3 |
|
9 |
They can transfer the current developments and their studies in the field to inside and outside groups by writing, by speech and/or by using visual aids. |
3 |
|
10 |
Graduates develop implementation plans related to their field and evaluate the results as a part of the quality process. |
4 |
|
11 |
Graduates can conduct the studies related to the field determining the social, scientific and ethical values |
1 |
|
12 |
Graduates can use the acquired knowledge and problem-solving skills in interdisciplinary studies. |
5 |
|
13 |
Graduates develop solutions for complex problems in the field by taking responsibility |
4 |
|
14 |
They can conduct advanced studies independently. |
4 |
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15 |
Graduates can do a critical evaluation of the information related to the field and can plan the learning process. |
1 |
|
16 |
Graduates can use a foreign language at a certain level both verbal and written. |
1 |
|
17 |
They can use information and communication technologies with computer software as much as field needs. |
3 |
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18 |
Graduates are sensitive to social events and they have a critical perspective. |
1 |
| * 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 |
5 |
70 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
5 |
5 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
5 |
5 |
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Final Exam |
1 |
5 |
5 |
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Total Workload: | 127 |
| Total Workload / 25 (h): | 5.08 |
| ECTS Credit: | 5 |
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