Course Details

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
6IE388QUALITY CONTROL AND ASSURANCE3+0+03514.05.2026

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program INDUSTRIAL ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Analyze production/service processes for quality improvement
Use statistical tools for statistical quality control and assurance
Make designed experiments to optimize production/service processes
Course Content Provides students the opportunity to apply their theoretical background in optimization and statistics to quality management/improvement applications. Statistical process control, design of experiments, and acceptance sampling methodology are the three pillars of the course. To improve product and service quality, the course heavily focuses on those methods as well as process optimization.
Course Methods and Techniques Project, Quiz, Group Study
Prerequisites and co-requisities ( IE202 )
Course Coordinator Asist Prof.Dr. Betül Çoban
Name of Lecturers Asist Prof.Dr. BETÜL ÇOBAN YELKEN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Montgomery, Douglas C. Statistical Quality Control: A Modern Introduction. Wiley, 2012. • Besterfield, Dale H. Quality Improvement: Pearson New International Edition. Pearson, 2012. • Gryna, Frank M. Quality Planning and Analysis: From Product Development through Use, McGraw-Hill, 2000.
Course Notes Canvas
Documents Canvas'da paylaşılacaktır
Assignments Canvas'da paylaşılacaktır
Exams Canvas'da paylaşılacaktır

Course Category
Engineering %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 25
Quiz/Küçük Sınav 4 % 20
Proje/Çizim 1 % 15
Final examination 1 % 35
Diğer (Staj vb.) 1 % 5
Total
8
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Grup Sunumu 1 5 5
Sınıf İçi Aktivitesi 1 2 2
Sunum için Hazırlık 1 5 5
Proje 1 50 50
İnceleme 1 20 20
Ders dışı çalışma 2 8 16
Yüz Yüze Ders 14 3 42
Final Sınavı 1 10 10
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Explain the philosophy and basic concepts of quality control/improvement
2 Design statistical control charts for variables and attributes of processes
3 Analyze process capability and measurement of system capability
4 Make designed experiments to identify significant factors processes and to optimize those factors.
5 Evaluate various acceptance-sampling techniques

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Quality improvement in the modern business environment
2 The DMAIC process
3 Methods and philosophy of Statistical Process Control
4 Control charts for variables
5 Control charts for attributes
6 Overview of Control charts for variables and attributes
7 Lecture Free Week – Term Project Discussion
8 Spring Break
9 Cumulative sum (CUSUM) control charts
10 Exponentially weighted moving average (EWMA) control charts
11 Factorial and fractional factorial experiments for process design and improvement
12 Process optimization with designed experiment
13 Lot-by-lot acceptance sampling for attributes
14 Term Project Presentations

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 1 1 1 1 2 3 2 3 2 1
C1 1 1 1 1 2 3 2 3 2 1
C2 2 2 2 2 1 2 2 1 1 1
C3 2 2 2 2 1 2 2 1 3 1 1
C4 2 2 2 2 1 2 2 1 1
C5 2 2 2 2 1 2 2 1 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=78228&lang=en