Industrial Engineering

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
15271712	Statistical Quality Control	2025	Autumn	7	3+0+0	0	5

Course Type	Elective
Course Cycle	Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language	Turkish
Methods and Techniques	-
Mode of Delivery	Face to Face
Prerequisites	-
Coordinator	Prof. Murat DARÇIN
Instructor(s)	Asst. Prof. Şule ERYÜRÜK
Instructor Assistant(s)	-

Name and Surname	Room	E-Mail Address	Internal	Meeting Hours
Asst. Prof. Şule ERYÜRÜK	A-306	[email protected]	7537

Basic Vocational Courses
Specialization / Field Courses	X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P1	Knowledge of mathematics, natural sciences, fundamental engineering, computational sciences, and industrial engineering-specific subjects; the ability to apply this knowledge to solve complex industrial engineering problems.	5
P2	The ability to define, formulate, and analyze complex industrial engineering problems using fundamental science, mathematics, and engineering knowledge, while keeping in mind the relevant UN Sustainable Development Goals.	5
P3	The ability to design creative solutions to complex industrial engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, while considering realistic constraints and conditions.	5

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Define quality and general terms related to quality.	P.1.37	1
O2	Select and use appropriate process control tools to monitor the production process based on a qualitative or quantitative quality characteristic.	P.2.56	1
O3	Select an appropriate acceptance sampling procedure to achieve the required customer and producer protection levels.	P.2.57	1
O4	Apply fundamental statistical principles and techniques in quality improvement and quality control.	P.2.58	1
O5	Select and use appropriate statistical process control (SPC) tools to monitor the production process based on qualitative or quantitative quality characteristics.	P.3.32	1
O6	Select an appropriate acceptance sampling procedure to achieve the required levels of consumer and producer protection.	P.3.33	1
O7	Apply fundamental statistical principles and techniques in quality improvement and quality control.	P.3.34	1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Basic Concepts (Quality, Control, Statistical Process Control, Sampling, ...)
2	Descriptive Statistics, Probability Distributions, Interval Estimation (Mean, Variance, Proportion, Difference Between Two Means)
3	Random and determinable causes of variation in quality. Statistical basis of control diagrams. Selection of control limits.
4	Sample size and sampling frequency. Subgroups. Rules for control diagrams.
5	Tally chart. Pareto diagram. Cause and effect diagram. Scatter diagram.
6	Acceptance Sampling (Basic Concepts, Risk in Acceptance Sampling, Operating Characteristic Curve)
7	Control Charts, Process Variability, Statistical Risks in Process Control
8	Midterm
9	Control Charts for Quantitative Measurements
10	Control Charts for Qualitative Measures
11	Control Limits, Specification Limits, and Natural Tolerance Limits
12	Process Capability Analysis
13	Six Sigma
14	Failure modes and effects analysis
15	Final Exam Preparation

Resources	Burnak N., Toplam Kalite Yönetimi "İstatistiksel Süreç Kontrolü", Osmangazi Üniversitesi, 1997
	Introduction to Statistical Quality Control, Douglas C. Montgomery, 7th Edition, 2013

In-Term Studies	Quantity	Percentage
Attendance	-	-
Laboratory	-	-
Practice	-	-
Field Study	-	-
Course Specific Internship (If Any)	-	-
Homework	-	-
Presentation	-	-
Projects	-	-
Seminar	-	-
Quiz	-	-
Listening	-	-
Midterms	1	40 (%)
Final Exam	1	60 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	3	42
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	14	3	42
Midterms	1	30	30
Quiz	0	0	0
Homework	0	0	0
Practice	0	0	0
Laboratory	0	0	0
Project	0	0	0
Workshop	0	0	0
Presentation/Seminar Preparation	0	0	0
Fieldwork	0	0	0
Final Exam	1	36	36
Other	0	0	0
Total Work Load:			150
Total Work Load / 30			5
Course ECTS Credits:			5

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P1	P2	P3
O1	Define quality and general terms related to quality.	5	-	-
O2	Select and use appropriate process control tools to monitor the production process based on a qualitative or quantitative quality characteristic.	-	5	-
O3	Select an appropriate acceptance sampling procedure to achieve the required customer and producer protection levels.	-	5	-
O4	Apply fundamental statistical principles and techniques in quality improvement and quality control.	-	5	-
O5	Select and use appropriate statistical process control (SPC) tools to monitor the production process based on qualitative or quantitative quality characteristics.	-	-	5
O6	Select an appropriate acceptance sampling procedure to achieve the required levels of consumer and producer protection.	-	-	5
O7	Apply fundamental statistical principles and techniques in quality improvement and quality control.	-	-	5