Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
11320203E11831STATISTICAL QUALITY CONTROLElective355
Level of Course Unit
First Cycle
Language of Instruction
English
Objectives of the Course
• To explain classic quality control methods and modern quality management applications comparatively. • In the frame of statistical process control approach; to evaluate determination of sample sizes, acceptance sampling, forming control charts, inspection and measuring methods.
Name of Lecturer(s)
Assist. Prof. Dr. Burcu ARACIOGLU
Learning Outcomes
1To be able to learn statistical quality control tools, their usage and process analysis
2To be able to use statistical quality control tools in practice
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
In this course, statistical process control, inspection and measuring, acceptance sampling and reliability subjects will be explained.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Quality Improvement in the Modern Business Environment
2The DMAIC Process
3Modeling Process Quality
4Inferences About Process Quality
5Methods and Philosophy of Statistical Process Control
6Control Charts for Variables
7Control Charts for Attributes
8Midterm
9Process and Measurement System Capability Analysis
10Cumulative Sum and Exponentially Weighted Moving Average Control Charts
11Multivariate Process Monitoring and Control
12Factorial and Fractional Factorial Experiments for Process Design and Environment
13Process Optimization with Designed Experiments
14Lot-By-Lot Acceptance Sampling for Attributes
15Other Acceptance Sampling Techniques
16Final Exam
Recommended or Required Reading
Montgomery, Douglas C., “Introduction to Statistical Quality Control”, Wiley Text Books; 4th edition, 2000.
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
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures16348
Seminar5315
Self Study5315
Individual Study for Homework Problems428
Individual Study for Mid term Examination10220
Individual Study for Final Examination20240
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
LO15555433353
LO25555552344
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr