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| Course Description |
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| Course Name |
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Advanced Topics in Facilities Planning |
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| Course Code |
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EM-541 |
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| Course Type |
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Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Asst.Prof.Dr. MEVHİBE OYA ÇETİK
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| Learning Outcomes of the Course |
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Learns the stages of facility planning
Reviews the basic principles and updates knowledge about subject
Learns and applies mathematical models related to selection of facility location and facility layout
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
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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Facility planning problems, numerical methods and models used in the solution of problems and the use of computer-assisted algorithms will be examined. |
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| Course Contents |
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The planning stages of the identification and establishment of the principles of facility planning, flow analysis, facility planning, problem analysis with quantitative methods and models to be applied, computer aided facility layout algorithms, advanced placement models, discrete network location models |
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| Language of Instruction |
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Turkish |
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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 |
Definiton of facility location problem |
Reading related references |
Lecture |
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2 |
Methods of solving facility location problems |
Reading related references |
Presentation |
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3 |
Methods of solving facility location problems |
Reading related references |
Presentation |
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4 |
Methods of solving facility location problems |
Reading related references |
Lecture |
|
5 |
Methods of solving facility location problems |
Research |
Lecture |
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6 |
Methods of solving facility location problems |
Research |
Lecture |
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7 |
Research of applications |
Research |
Presentation |
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8 |
Research of applications |
Research |
Presentation |
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9 |
Research of applications |
Research |
Presentation |
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10 |
Midterm |
Exam preparation |
Written Exam |
|
11 |
Facility layout problem |
Reading related references |
Lecture |
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12 |
The solving of facility layout problem with computer aided algorithms |
Reading related references |
Lecture |
|
13 |
The solving of facility layout problem with computer aided algorithms |
Researching case studies |
Presentation |
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14 |
The solving of facility layout problem with computer aided algorithms |
Researching case studies |
Presentation |
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15 |
The solving of facility layout problem with computer aided algorithms |
Research |
Presentation |
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16/17 |
Final |
Exam preparation |
Written Exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Tompkins, J. A. , White, J. A., Bozer, Y. A., J.M.A. Tanchoco, Facilities Planning, John Wiley Inc.
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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 |
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. |
3 |
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4 |
Identify, gather and use necessary information and data. |
5 |
|
5 |
Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. |
5 |
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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. |
4 |
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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 |
|
10 |
Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. |
5 |
|
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. |
5 |
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13 |
Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. |
5 |
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14 |
Understand social and environmental implications of engineering practice. |
5 |
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15 |
Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. |
5 |
| * 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 |
4 |
56 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
15 |
15 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
15 |
15 |
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Total Workload: | 138 |
| Total Workload / 25 (h): | 5.52 |
| ECTS Credit: | 6 |
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