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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB322 |
| Name | Statistical Quality Control |
| Term | 2016-2017 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 |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MAHMUDE REVAN ÖZKALE ATICIOĞLU |
| Course Instructor |
Prof. Dr. MAHMUDE REVAN ÖZKALE ATICIOĞLU
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
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
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
Yok
Resources
Notes
1. Montgomery, D. C. (2009), Introduction to Statistical Quality Control. John Wiley & Sons 2. Bircan, H., Özcan, S. (2003), Excel Uygulamalı Kalite Kontrol. Yargı Yayınevi
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 | |
| 2 | Statistical quality control methods | Source reading | |
| 3 | Selection of control charts and control limits | Source reading | |
| 4 | x_bar and R control charts | Source reading | |
| 5 | x_bar and S control charts | Source reading | |
| 6 | p and np control charts | Source reading | |
| 7 | c and u control charts | Source reading | |
| 8 | mid-term exam | Review the topics discussed in the lecture notes and sources | |
| 9 | Cumulative control (CUSUM) charts | Source reading | |
| 10 | Exponentially weighted moving average (EWMA) control charts | Source reading | |
| 11 | Moving average (MA) control charts | Source reading | |
| 12 | Process Capability Analysis | Source reading | |
| 13 | Process Capability Analysis | Source reading | |
| 14 | Acceptance Sampling | Source reading | |
| 15 | Acceptance Sampling | Source reading | |
| 16 | Final exam | Review the topics discussed in the lecture notes and sources | |
| 17 | Final exam | Review the topics discussed in the lecture notes and sources |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 80 | 32 |
| 1. Homework | 20 | 8 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 16 | 3 | 48 |
| Out of Class Study (Preliminary Work, Practice) | 16 | 3 | 48 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 20 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 25 | 25 |
| Total Workload (Hour) | 156 | ||
| Total Workload / 25 (h) | 6,24 | ||
| ECTS | 6 ECTS | ||