ISB322 Statistical Quality Control

6 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

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
Prof. Dr. MAHMUDE REVAN ÖZKALE (A Group) (Ins. in Charge)


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

Update Time: 12.06.2024 11:45