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| OREL7272 | Statistical Process Control in Forest Industry | 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: | | Investigation of forest products statistical process control systems applied in industry, to investigate the feasibility of alternative process control systems. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | To explain statistical process control methods | | | | PO - 2 : | To develop process control activities in Business | | | | PO - 3 : | To develop process control activities in Business | | | | PO - 4 : | To provide solutions to problems encountered in the process | | | | 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 | | |
| Statistical process control (SPC) methods are introduced, explaining the advantages and disadvantages relative to each other IDF methods, explanation of one variable control charts (Shewhart, CUSUM, EWMA control charts), disclosure of multivariate control charts (Hotelling's T MCUs I, the MEWA), forest products industry investigation of applied techniques SPC and comparison of alternative techniques |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Process, process control, statistical process control concepts | | | Week 2 | Introducing the IDF method | | | Week 3 | Comparison of methods Settlement | | | Week 4 | First midterm exam | | | Week 5 | Univariate control charts Shewhart control grafikleri- | | | Week 6 | Univariate control charts CUSUM control grafikleri- | | | Week 7 | Univariate control charts EWMA control grafikleri- | | | Week 8 | Multivariable control grafikleri- Hotelling T control charts | | | Week 9 | Multivariable control grafikleri- MCUSUM control charts | | | Week 10 | Multivariable control grafikleri- MEWMA control charts | | | Week 11 | Second midterm exam | | | Week 12 | Homework presentation and evaluation | | | Week 13 | Homework presentation and evaluation | | | Week 14 | Homework presentation and evaluation | | | Week 15 | Homework presentation and evaluation | | | Week 16 | Final exam | | | |
| 1 | Işığıçok, E., 2005, Toplam Kalite Yönetimi Bakış Açısıyla İstatistiksel Kalite Kontrol, Ezgi Kitapevi, Bursa. | | | |
| 1 | Bozkurt, R., 2010, Kalite İyileştirme Araç ve Yöntemleri, MPM Yayınları No:30, Ankara. | | | 2 | Mason,R.L., Young,J.C. 2002, Multivariate Statistical Process Control with Industrial Applications, USA. | | | 3 | Montgomery,D.C., 2005. Introduction to Statistical Quality Control, John Wiley/Sons, NY | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | | | | | | | |
| 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 | | Arasınav | 2 | 2 | 4 | | Uygulama | 2 | 8 | 16 | | Ödev | 5 | 8 | 40 | | Dönem sonu sınavı için hazırlık | 12 | 2 | 24 | | Dönem sonu sınavı | 1 | 2 | 2 | | Total work load | | | 236 |
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