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| OREL7270 | Quality Improvement Methods | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST INDUSTRY ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Aytaç AYDIN | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Understanding the quality management, to have information about quality improvement methods |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Will have knowledge about quality management | 3 - 8 | 1,3 | | PO - 2 : | Will have information about quality improvement methods | 3 - 8 | 1,3 | | PO - 3 : | Will can use statistical techniques in Quality control | 3 - 8 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Quality management in the forest products industry, graphical analysis in quality management, quality circles, flow charts, brainstorming, Pareto analysis, cause-and-effect diagrams, scatter diagrams, control charts, process capability, six sigma, basic statistical quality parameters, quality applications in forest industry |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Quality, quality control and total quality control concept | | | Week 2 | Statistical quality control methods and techniques | | | Week 3 | Theoretical structure of the quality improvement process | | | Week 4 | Frequency distributions and sample applications | | | Week 5 | Histogram and practices | | | Week 6 | Flow diagrams and sample applications | | | Week 7 | Scatter diagram and sample applications | | | Week 8 | Brainstorming and practices | | | Week 9 | Midterm Exam | | | Week 10 | Pareto analysis and sample applications | | | Week 11 | Cause-and-effect diagrams and sample applications | | | Week 12 | Quality control charts and sample applications | | | Week 13 | Quality control charts and sample applications | | | Week 14 | Six sigma process capability and applications | | | Week 15 | Practical solutions with SPSS | | | Week 16 | Final exam | | | |
| 1 | Bozkurt, R. 2010; Kalite İyileştirme Araç ve Yöntemleri, MPM Yayınları No:630, Ankara | | | |
| 1 | Işığıçok,E. 2004; Toplam Kalite Yönetimi Bakış Açısıyla İstatistiksel Kalite Kontrol, Bursa. | | | 2 | Gözlü, S. 1990; Endüstriyel Kalite Kontrol, İTÜ Kütüphanesi, Sayı:1416, İstanbul | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Presentation | 12 | | | | | Homework/Assignment/Term-paper | 5 | | | 50 | | End-of-term exam | 15 | | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Arasınav için hazırlık | 8 | 3 | 24 | | Uygulama | 2 | 8 | 16 | | Ödev | 5 | 8 | 40 | | Dönem sonu sınavı için hazırlık | 12 | 2 | 24 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 231 |
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