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Information
| Code | ISB322 |
| Name | Statistical Quality Control |
| Term | 2024-2025 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MAHMUDE REVAN ÖZKALE |
| Course Instructor |
1 2 |
Course Goal / Objective
The aim of this course is to determine whether the products derived after the completion of the production or during the production are at the desired quality and to apply the statistical techniques in order to provide the desired quality
Course Content
This course covers Introduction to the concept of quality, control charts for variables and attributes, cumulative sum, exponentially weighted moving average and moving average control charts, process capability analysis, acceptance sampling
Course Precondition
none
Resources
Özkale Atıcıoğlu, M. R. (2022), Minitab ve İstatistik Uygulamalı İstatistiksel Kalite Kontrol. Seçkin Yayıncılık, Ankara
Notes
Montgomery, D. C. (2009), Introduction to Statistical Quality Control. John Wiley and Sons
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Use basic statistical techniques such as check sheet, histogram, pareto chart, cause and effect diagram, defect concentration diagram, scatter diagram |
| LO02 | Explain the basics of statistical control charts |
| LO03 | Distinguish between quantitative and qualitative control charts |
| LO04 | Explain the importance of cumulative sum (CUSUM), exponentially weighted moving average (EWMA) and the moving average (MA) control charts |
| LO05 | Interpret the control charts |
| LO06 | Distinguish between process adequacy indices |
| LO07 | Explain the role of acceptance sampling in quality control studies |
| LO08 | Use statistical package programs for plotting control charts |
| LO09 | Estimate the parameters of the process |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 4 |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 1 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | 4 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Quality, history and basic concepts | Source reading | Öğretim Yöntemleri: Anlatım |
| 2 | Statistical quality control methods | Source reading | Öğretim Yöntemleri: Anlatım |
| 3 | Selection of control charts and control limits | Source reading | Öğretim Yöntemleri: Anlatım |
| 4 | xbar and R control charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 5 | xbar and S control charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 6 | p and np control charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 7 | c and u control charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Cumulative control (CUSUM) charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 10 | Exponentially weighted moving average (EWMA) control charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 11 | Moving average (MA) control charts | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 12 | Process Capability Analysis | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 13 | Hypothesi testing in process Capability Analysis | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 14 | Single acceptance sampling | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 15 | Two-fold acceptance Sampling | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 16 | Multiple acceptance Sampling | Source reading | Ölçme Yöntemleri: Performans Değerlendirmesi |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||